Gradient_Descent

Gradient_Descent

• 2021-05-14 Learning a Universal Template for Few-shot Dataset Generalization    Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  Few-Shot  PDF
• 2021-05-11 Direct and indirect reinforcement learning    Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Relation  PDF
• 2021-05-10 Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum    Tiangang Li arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Adversarial  Pose  Deep_Learning  Relation  Attention  PDF
• 2021-05-08 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems    Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Quantitative  GAN  PDF
• 2021-05-06 Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop    Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori arXiv_CV arXiv_CV  Gradient_Descent  Optimization  PDF
• 2021-05-05 Understanding Long Range Memory Effects in Deep Neural Networks    Chengli Tan, Jiangshe Zhang, Junmin Liu arXiv_CV arXiv_CV  Gradient_Descent  Pose  Action  Deep_Learning  Relation  PDF
• 2021-05-04 Implicit Regularization in Deep Tensor Factorization    Paolo Milanesi (QARMA), Hachem Kadri (LIS, QARMA, AMU SCI), Stéphane Ayache (QARMA), Thierry Artières (QARMA) arXiv_AI arXiv_AI  Gradient_Descent  Regularization  PDF
• 2021-05-03 Initialization and Regularization of Factorized Neural Layers    Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolò Fusi arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Optimization  Regularization  Knowledge  Pose  Deep_Learning  Attention  PDF
• 2021-05-01 Stochastic Block-ADMM for Training Deep Networks    Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Li Fuxin arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2021-04-29 NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications    Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Point_Cloud  Pose  Face  Deep_Learning  PDF
• 2021-04-29 Fine-grained Generalization Analysis of Vector-valued Learning    Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Action  Classification  PDF
• 2021-04-23 Partitioning sparse deep neural networks for scalable training and inference    Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu arXiv_AI arXiv_AI  Gradient_Descent  Sparse  Pose  Action  Deep_Learning  Inference  PDF
• 2021-04-22 Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes    James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  PDF
• 2021-04-19 Manipulating SGD with Data Ordering Attacks    Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross Anderson arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Adversarial  PDF
• 2021-04-19 LAFEAT: Piercing Through Adversarial Defenses with Latent Features    Yunrui Yu, Xitong Gao, Cheng-Zhong Xu arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  CNN  PDF
• 2021-04-19 Image Modeling with Deep Convolutional Gaussian Mixture Models    Alexander Gepperth, Benedikt Pfülb arXiv_CV arXiv_CV  Gradient_Descent  Image_Generation  Detection  CNN  PDF
• 2021-04-19 Few-shot Learning for Topic Modeling    Tomoharu Iwata arXiv_CL arXiv_CL  Gradient_Descent  Pose  Few-Shot  PDF
• 2021-04-16 Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization    Navya Nagananda, Breton Minnehan, Andreas Savakis arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Optimization  Classification  PDF
• 2021-04-15 A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It    Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays arXiv_CL arXiv_CL  Reconstruction  Gradient_Descent  Recognition  Optimization  Speech  Pose  Speech_Recognition  Matching  PDF
• 2021-04-14 Learning How to Ask: Querying LMs with Mixtures of Soft Prompts    Guanghui Qin, Jason Eisner arXiv_CL arXiv_CL  Embedding  Gradient_Descent  Knowledge  Few-Shot  Language_Model  PDF
• 2021-04-13 Learning Log-Determinant Divergences for Positive Definite Matrices    Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Pose  PDF
• 2021-04-12 A Recipe for Global Convergence Guarantee in Deep Neural Networks    Kenji Kawaguchi, Qingyun Sun arXiv_AI arXiv_AI  Gradient_Descent  Pose  Deep_Learning  CNN  PDF
• 2021-04-12 ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators    Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Inference  PDF
• 2021-04-11 Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach    Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao arXiv_CL arXiv_CL  Gradient_Descent  Optimization  Adversarial  Pose  Deep_Learning  PDF
• 2021-04-08 Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape    Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung arXiv_AI arXiv_AI  Gradient_Descent  Pose  Deep_Learning  PDF
• 2021-04-07 Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection    Wanying Ge, Michele Panariello, Jose Patino, Massimiliano Todisco, Nicholas Evans arXiv_SD arXiv_SD  NAS  Gradient_Descent  Pose  Detection  CNN  PDF
• 2021-04-07 Soft-Label Anonymous Gastric X-ray Image Distillation    Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama arXiv_CV arXiv_CV  Gradient_Descent  Pose  Medical  PDF
• 2021-04-06 Searching Efficient Model-guided Deep Network for Image Denoising    Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi arXiv_CV arXiv_CV  NAS  Gradient_Descent  Optimization  Pose  Denoising  PDF
• 2021-04-05 Robust Trust Region for Weakly Supervised Segmentation    Dmitrii Marin, Yuri Boykov arXiv_CV arXiv_CV  Segmentation  Unsupervised  Semantic_Segmentation  Gradient_Descent  Weakly_Supervised  Optimization  Pose  Action  Deep_Learning  PDF
• 2021-04-02 Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information    Mobarakol Islam, V Jeya Maria Jose, Hongliang Ren arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Pose  CNN  Prediction  PDF
• 2021-04-01 Learning with Neural Tangent Kernels in Near Input Sparsity Time    Amir Zandieh arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  CNN  PDF
• 2021-04-01 Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach    Mohammed Abouheaf, Wail Gueaieb, Md. Suruz Miah, Davide Spinello arXiv_AI arXiv_AI  Tracking  Gradient_Descent  Reinforcement_Learning  Knowledge  Pose  PDF
• 2021-03-31 Adversarial Attacks and Defenses for Speech Recognition Systems    Piotr Żelasko, Sonal Joshi, Yiwen Shao, Jesus Villalba, Jan Trmal, Najim Dehak, Sanjeev Khudanpur arXiv_SD arXiv_SD  Transformer  Gradient_Descent  Recognition  Adversarial  Speech  GAN  Speech_Recognition  PDF
• 2021-03-31 Knowledge Distillation By Sparse Representation Matching    Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Represenation_Learning  Knowledge  Pose  CNN  Matching  PDF
• 2021-03-30 Exploiting Invariance in Training Deep Neural Networks    Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov arXiv_AI arXiv_AI  Segmentation  Semantic_Segmentation  Gradient_Descent  Pose  Classification  Detection  Object_Detection  Image_Classification  PDF
• 2021-03-30 Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere    Weipeng Li, Xiaogang Yang, Chuanxiang Li, Ruitao Lu, Xueli Xie arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Sparse  Prediction  PDF
• 2021-03-29 ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training    Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  PDF
• 2021-03-26 Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks    Loris Nanni, Gianluca Maguolo, Alessandra Lumini arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Medical  CNN  PDF
• 2021-03-26 Evaluation of deep learning models for multi-step ahead time series prediction    Rohitash Chandra, Shaurya Goyal, Rishabh Gupta arXiv_AI arXiv_AI  Gradient_Descent  RNN  Deep_Learning  Attention  CNN  Prediction  PDF
• 2021-03-25 Training Neural Networks Using the Property of Negative Feedback to Inverse a Function    Md Munir Hasan, Jeremy Holleman arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Pose  PDF
• 2021-03-23 Dual Online Stein Variational Inference for Control and Dynamics    Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos arXiv_RO arXiv_RO  Gradient_Descent  Face  Inference  PDF
• 2021-03-22 Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions    Kenji Suzuki, Yoshiyuki Kobayashi, Takuya Narihira arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  Deep_Learning  Inference  PDF
• 2021-03-22 Adversarially Optimized Mixup for Robust Classification    Jason Bunk, Srinjoy Chattopadhyay, B. S. Manjunath, Shivkumar Chandrasekaran arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Adversarial  Classification  Prediction  PDF
• 2021-03-17 Gradient Projection Memory for Continual Learning    Gobinda Saha, Isha Garg, Kaushik Roy arXiv_CV arXiv_CV  Gradient_Descent  Pose  Quantitative  Classification  Image_Classification  PDF
• 2021-03-16 Hebbian Semi-Supervised Learning in a Sample Efficiency Setting    Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Recognition  Pose  Classification  CNN  PDF
• 2021-03-16 Learning without gradient descent encoded by the dynamics of a neurobiological model    Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher White, Gabriel A. Silva arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  PDF
• 2021-03-15 Evolving parametrized Loss for Image Classification Learning on Small Datasets    Zhaoyang Hai, Xiabi Liu arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  Image_Classification  PDF
• 2021-03-14 CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner    Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong arXiv_AI arXiv_AI  Gradient_Descent  Classification  Deep_Learning  Image_Classification  PDF
• 2021-03-12 A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training    Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland arXiv_CL arXiv_CL  Gradient_Descent  Recognition  Speech  Speech_Recognition  PDF
• 2021-03-10 Active Exploration and Mapping via Iterative Covariance Regulation over Continuous $SE$ Trajectories    Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov arXiv_RO arXiv_RO  Gradient_Descent  Pose  Autonomous  PDF
• 2021-03-09 Proof-of-Learning: Definitions and Practice    Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2021-03-08 Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie    Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra arXiv_CV arXiv_CV  Gradient_Descent  Inpainting  Knowledge  Pose  Quantitative  Denoising  Attention  Inference  PDF
• 2021-03-08 Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing    Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool arXiv_CV arXiv_CV  Human_Parsing  Segmentation  Semantic_Segmentation  Gradient_Descent  Sparse  Represenation_Learning  Pose_Estimation  Pose  Inference  Matching  PDF
• 2021-03-07 Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods    Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo bi arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2021-03-07 Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique    Jeremy Straub arXiv_AI arXiv_AI  Gradient_Descent  Relation  Recommendation  PDF
• 2021-03-01 Mind the box: $l_1$-APGD for sparse adversarial attacks on image classifiers    Francesco Croce, Matthias Hein arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Adversarial  Pose  PDF
• 2021-03-01 Deep Learning with a Classifier System: Initial Results    Richard J. Preen, Larry Bull arXiv_AI arXiv_AI  Gradient_Descent  Recognition  Pose  Deep_Learning  CNN  Prediction  PDF
• 2021-03-01 Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning    Thomas Pellegrini (IRIT-SAMoVA), Timothée Masquelier (CERCO) arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Inference  PDF
• 2021-02-27 Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems    Yuyang Wang, Nitin Jonathan Myers, Nuria González-Prelcic, Robert W. Heath Jr arXiv_AI arXiv_AI  Gradient_Descent  Pose  Deep_Learning  CNN  PDF
• 2021-02-24 Robust SleepNets    Yigit Alparslan, Edward Kim arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Adversarial  Face  Classification  Detection  Face_Recognition  CNN  PDF
• 2021-02-23 Differentiable Logic Machines    Zimmer Matthieu, Feng Xuening, Glanois Claire, Jiang Zhaohui, Zhang Jianyi, Weng Paul, Jianye Hao, Dong Li, Wulong Liu arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Pose  PDF
• 2021-02-19 Implicit Regularization in Tensor Factorization    Noam Razin, Asaf Maman, Nadav Cohen arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Quantitative  Deep_Learning  PDF
• 2021-02-18 Dynamic curriculum learning via data parameters for noise robust keyword spotting    Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Speech  Pose  PDF
• 2021-02-17 Muddling Labels for Regularization, a novel approach to generalization    Karim Lounici, Katia Meziani, Benjamin Riu arXiv_AI arXiv_AI  Gradient_Descent  Regularization  Relation  Prediction  PDF
• 2021-02-16 Training Stacked Denoising Autoencoders for Representation Learning    Jason Liang, Keith Kelly arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Optimization  Represenation_Learning  Classification  Denoising  Image_Classification  PDF
• 2021-02-15 DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-class Labels for Safety-Aware Trajectory Optimization    Yuheng Zhi, Nikhil Das, Michael Yip arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Detection  Object_Detection  GAN  PDF
• 2021-02-14 Multi-Objective Meta Learning    Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang arXiv_AI arXiv_AI  NAS  Gradient_Descent  Optimization  Pose  Few-Shot  PDF
• 2021-02-12 Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network    Kanya Mo (1), Shen Zheng (1), Xiwei Wang (1), Jinghua Wang (2), Klaus-Dieter Schewe (1) ((1) Zhejiang University, UIUC Institute, (2) University of Illinois at Urbana-Champaign) arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  PDF
• 2021-02-09 When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?    Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2021-02-08 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games    Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Action  PDF
• 2021-02-08 Rapid Classification of Glaucomatous Fundus Images    Hardit Singh, Simarjeet Saini, Vasudevan Lakshminarayanan arXiv_CV arXiv_CV  NAS  Transfer_Learning  Gradient_Descent  Reinforcement_Learning  Pose  Classification  Detection  CNN  Prediction  PDF
• 2021-02-08 Neurogenetic Programming Framework for Explainable Reinforcement Learning    Vadim Liventsev, Aki Härmä, Milan Petković arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Knowledge  Pose  Language_Model  PDF
• 2021-02-07 Online Limited Memory Neural-Linear Bandits with Likelihood Matching    Ofir Nabati, Tom Zahavy, Shie Mannor arXiv_AI arXiv_AI  Gradient_Descent  Represenation_Learning  Pose  Matching  PDF
• 2021-02-07 State-Aware Variational Thompson Sampling for Deep Q-Networks    Siddharth Aravindan, Wee Sun Lee arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Pose  Action  PDF
• 2021-02-05 Robust Single-step Adversarial Training with Regularizer    Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Regularization  Adversarial  Pose  PDF
• 2021-02-04 Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering    Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  3D  Optimization  Pose  Deep_Learning  PDF
• 2021-02-03 Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss    Huiyuan Deng, Xiangzhu Meng, Lin Feng arXiv_AI arXiv_AI  Gradient_Descent  Weakly_Supervised  Optimization  Pose  PDF
• 2021-01-26 Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering    Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  PDF
• 2021-01-22 Iterative Optimisation with an Innovation CNN for Pose Refinement    Gerard Kennedy, Zheyu Zhuang, Xin Yu, Robert Mahony arXiv_CV arXiv_CV  Gradient_Descent  3D  Pose_Estimation  Pose  PDF
• 2021-01-21 Invariance, encodings, and generalization: learning identity effects with neural networks    S. Brugiapaglia, M. Liu, P. Tupper arXiv_CL arXiv_CL  Gradient_Descent  Adversarial  Inference  PDF
• 2021-01-20 Component Tree Loss Function: Definition and Optimization    Benjamin Perret (LIGM), Jean Cousty (LIGM) arXiv_CV arXiv_CV  Image_Caption  Gradient_Descent  Optimization  Pose  PDF
• 2021-01-15 Black-box Adversarial Attacks in Autonomous Vehicle Technology    K Naveen Kumar, C Vishnu, Reshmi Mitra, C Krishna Mohan arXiv_AI arXiv_AI  Gradient_Descent  Recognition  Adversarial  Pose  Classification  Autonomous  PDF
• 2021-01-13 DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees    Jasjeet Dhaliwal, Kyle Hambrook arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Inpainting  Super_Resolution  Compressive_Sensing  Denoising  PDF
• 2021-01-12 Linear Representation Meta-Reinforcement Learning for Instant Adaptation    Matt Peng, Banghua Zhu, Jiantao Jiao arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  PDF
• 2021-01-07 A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning    Kaustubh Yadav arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Deep_Learning  PDF
• 2021-01-07 Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation    Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Pose  Action  Classification  Deep_Learning  Medical  PDF
• 2021-01-04 Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks    Yanghao Zhang, Fu Wang, Wenjie Ruan arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Deep_Learning  Detection  Object_Detection  PDF
• 2021-01-04 Path Optimization for Ground Vehicles in Off-Road Terrain    Timothy Overbye, Srikanth Saripalli arXiv_RO arXiv_RO  Gradient_Descent  Optimization  PDF
• 2021-01-03 diff-SAT -- A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming    Matthias Nickles arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2021-01-01 The Bayesian Method of Tensor Networks    Erdong Guo, David Draper arXiv_CV arXiv_CV  Gradient_Descent  Pose  Inference  Prediction  PDF
• 2021-01-01 B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning    Anish Madan, Ranjitha Prasad arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Sparse  Pose  Classification  Few-Shot  PDF
• 2020-12-28 A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions    Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi arXiv_CV arXiv_CV  Gradient_Descent  Inpainting  Action  PDF
• 2020-12-26 Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks    Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Pose  Classification  CNN  Image_Classification  PDF
• 2020-12-25 A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning    Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Knowledge  Adversarial  Pose  Deep_Learning  Attention  PDF
• 2020-12-24 Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms    Arda Sahiner, Tolga Ergen, John Pauly, Mert Pilanci arXiv_AI arXiv_AI  Gradient_Descent  CNN  PDF
• 2020-12-22 Stochastic Gradient Variance Reduction by Solving a Filtering Problem    Xingyi Yang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Knowledge  Pose  PDF
• 2020-12-22 On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability    Theodoros Tsiligkaridis, Jay Roberts arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Sparse  Adversarial  Attention  Prediction  PDF
• 2020-12-22 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning    Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta arXiv_CL arXiv_CL  Gradient_Descent  Bert  Regularization  Language_Model  PDF
• 2020-12-21 Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation    David M. Bossens, Danesh Tarapore arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-12-21 Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis    Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  Action  PDF
• 2020-12-21 Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent    Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xuesong Tang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  PDF
• 2020-12-18 A hybrid MGA-MSGD ANN training approach for approximate solution of linear elliptic PDEs    Hamidreza Dehghani, Andreas Zilian arXiv_AI arXiv_AI  Gradient_Descent  3D  Pose  PDF
• 2020-12-15 CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning    Yang He, Maximilian Zenk, Mario Fritz arXiv_CV arXiv_CV  Segmentation  Quantization  Semantic_Segmentation  Gradient_Descent  Pose  Classification  Image_Classification  PDF
• 2020-12-15 NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression    Nicolas Wagner, Ulrich Schwanecke arXiv_CV arXiv_CV  Gradient_Descent  Point_Cloud  Pose  QA  PDF
• 2020-12-12 A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings    Davide Buffelli, Fabio Vandin arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Represenation_Learning  Pose  PDF
• 2020-12-10 iNeRF: Inverting Neural Radiance Fields for Pose Estimation    Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin arXiv_CV arXiv_CV  Gradient_Descent  3D  Pose_Estimation  Pose  PDF
• 2020-12-10 Rewriter-Evaluator Framework for Neural Machine Translation    Yangming Li, Kaisheng Yao arXiv_CL arXiv_CL  Transformer  Gradient_Descent  Pose  NMT  PDF
• 2020-12-08 Kernelized Classification in Deep Networks    Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  PDF
• 2020-12-06 A Weighted Solution to SVM Actionability and Interpretability    Samuel Marc Denton, Ansaf Salleb-Aouissi arXiv_AI arXiv_AI  Gradient_Descent  Pose  Action  Classification  Prediction  PDF
• 2020-12-03 SSGD: A safe and efficient method of gradient descent    Jinhuan Duan, Xianxian Li, Shiqi Gao, Jinyan Wang, Zili Zhong arXiv_AI arXiv_AI  Reconstruction  Gradient_Descent  Optimization  Pose  PDF
• 2020-12-02 About contrastive unsupervised representation learning for classification and its convergence    Ibrahim Merad, Yiyang Yu, Emmanuel Bacry, Stéphane Gaïffas arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Represenation_Learning  Self-Supervised  Contrastive_Learning  Classification  PDF
• 2020-12-01 Improving the Transferability of Adversarial Examples with the Adam Optimizer    Heng Yin, Hengwei Zhang, Jindong Wang, Ruiyu Dou arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Adversarial  Pose  Deep_Learning  CNN  PDF
• 2020-11-30 FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief    Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Pose  PDF
• 2020-11-30 Long-range medical image registration through generalized mutual information : toward a fully automatic volumetric alignment    Vinicius Pavanelli Vianna, Luiz Otavio Murta Jr arXiv_CV arXiv_CV  Gradient_Descent  Pose  Face  Medical  PDF
• 2020-11-30 Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses    Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  PDF
• 2020-11-27 Multi-objective Neural Architecture Search with Almost No Training    Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu arXiv_CV arXiv_CV  NAS  Transfer_Learning  Gradient_Descent  Pose  Classification  Relation  Attention  PDF
• 2020-11-27 Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials    Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon C. de Oliveira arXiv_AI arXiv_AI  Gradient_Descent  Action  PDF
• 2020-11-26 Modelling brain lesion volume in patches with CNN-based Poisson Regression    Kevin Raina arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Medical  PDF
• 2020-11-25 MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning    Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang arXiv_AI arXiv_AI  Quantization  Gradient_Descent  Pose  Deep_Learning  PDF
• 2020-11-23 Stable Weight Decay Regularization    Zeke Xie, Issei Sato, Masashi Sugiyama arXiv_AI arXiv_AI  Gradient_Descent  Regularization  Pose  Deep_Learning  PDF
• 2020-11-21 Rank-smoothed Pairwise Learning In Perceptual Quality Assessment    Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth arXiv_CV arXiv_CV  Gradient_Descent  Deep_Learning  PDF
• 2020-11-20 Adversarial Training for EM Classification Networks    Tom Grimes, Eric Church, William Pitts, Lynn Wood, Eva Brayfindley, Luke Erikson, Mark Greaves arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Adversarial  Classification  Activity  Inference  PDF
• 2020-11-19 WNGrad: Learn the Learning Rate in Gradient Descent    Xiaoxia Wu, Rachel Ward, Léon Bottou arXiv_AI arXiv_AI  Gradient_Descent  Pose  Deep_Learning  Relation  PDF
• 2020-11-18 Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease    Mireia Farrús, Joan Codina-Filbà arXiv_CL arXiv_CL  Gradient_Descent  Speech  Action  Classification  Detection  PDF
• 2020-11-17 MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks    Tao Huang, Yihan Zhang, Jiajing Wu, Junyuan Fang, Zibin Zheng arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Pose  CNN  PDF
• 2020-11-17 Learning outside the Black-Box: The pursuit of interpretable models    Jonathan Crabbé, Yao Zhang, William Zame, Mihaela van der Schaar arXiv_AI arXiv_AI  Gradient_Descent  Pose  Action  PDF
• 2020-11-17 Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction    Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Sparse  Pose  Deep_Learning  PDF
• 2020-11-15 Stein Variational Model Predictive Control    Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos arXiv_AI arXiv_AI  Gradient_Descent  Pose  Autonomous  Inference  PDF
• 2020-11-15 Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning    Georgios Kotsalis, Guanghui Lan, Tianjiao Li arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  PDF
• 2020-11-09 f-IRL: Inverse Reinforcement Learning via State Marginal Matching    Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach arXiv_RO arXiv_RO  Gradient_Descent  Reinforcement_Learning  Adversarial  Pose  Matching  PDF
• 2020-11-06 Generative adversarial training of product of policies for robust and adaptive movement primitives    Emmanuel Pignat, Hakan Girgin, Sylvain Calinon arXiv_RO arXiv_RO  Gradient_Descent  Adversarial  Pose  PDF
• 2020-11-03 Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting    Zhaodong Sun arXiv_CV arXiv_CV  Gradient_Descent  Inpainting  Super_Resolution  Deep_Learning  Relation  Denoising  PDF
• 2020-11-03 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations    Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek arXiv_AI arXiv_AI  Gradient_Descent  Relation  PDF
• 2020-11-02 Receptive Field Size Optimization with Continuous Time Pooling    Dóra Babicz, Soma Kontár, Márk Pető, András Fülöp, Gergely Szabó, András Horváth arXiv_AI arXiv_AI  Gradient_Descent  Optimization  CNN  PDF
• 2020-11-02 Fast Reinforcement Learning with Incremental Gaussian Mixture Models    Rafael Pinto arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Action  Relation  PDF
• 2020-10-29 Deep Autofocus for Synthetic Aperture Sonar    Isaac Gerg, Vishal Monga arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Self-Supervised  Pose  Deep_Learning  PDF
• 2020-10-29 Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth    Wei Chen, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong arXiv_AI arXiv_AI  Gradient_Descent  Sparse  Pose  Deep_Learning  Inference  PDF
• 2020-10-28 Optimizing Short-Time Fourier Transform Parameters via Gradient Descent    An Zhao, Krishna Subramani, Paris Smaragdis arXiv_SD arXiv_SD  Gradient_Descent  Optimization  PDF
• 2020-10-27 Physics-Based Deep Learning for Fiber-Optic Communication Systems    Christian Häger, Henry D. Pfister arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Knowledge  Pose  Deep_Learning  PDF
• 2020-10-23 Coping with Label Shift via Distributionally Robust Optimisation    Jingzhao Zhang, Aditya Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-10-20 A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation    Ali Akbari, Muhammad Awais, Zhen-Hua Feng, Ammarah Farooq, Josef Kittler arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-10-20 Phase recovery with Bregman divergences for audio source separation    Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte arXiv_SD arXiv_SD  Reconstruction  Gradient_Descent  Enhancement  Speech  Pose  PDF
• 2020-10-19 Parameter Norm Growth During Training of Transformers    William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah Smith arXiv_CL arXiv_CL  Transformer  Gradient_Descent  PDF
• 2020-10-19 Multivariate Gaussian Variational Inference by Natural Gradient Descent    Timothy D. Barfoot arXiv_RO arXiv_RO  Gradient_Descent  Sparse  Review  Attention  Inference  PDF
• 2020-10-18 What do CNN neurons learn: Visualization & Clustering    Haoyue Dai arXiv_CV arXiv_CV  Gradient_Descent  Pose  Quantitative  CNN  Prediction  PDF
• 2020-10-15 Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning    Gustaf Halvardsson, Johanna Peterson, César Soto-Valero, Benoit Baudry arXiv_AI arXiv_AI  Transfer_Learning  Gradient_Descent  Optimization  CNN  PDF
• 2020-10-15 AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients    Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha Dvornek, Yifan Ding, Xenophon Papademetris, James S. Duncan arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Classification  Deep_Learning  GAN  CNN  Image_Classification  Language_Model  Prediction  PDF
• 2020-10-13 Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold    Feihu Huang, Shangqian Gao, Heng Huang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  PDF
• 2020-10-12 Explaining Neural Matrix Factorization with Gradient Rollback    Carolin Lawrence, Timo Sztyler, Mathias Niepert arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Knowledge  Knowledge_Graph  Pose  Prediction  Recommendation  PDF
• 2020-10-09 Continual learning using hash-routed convolutional neural networks    Ahmad Berjaoui arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Reinforcement_Learning  CNN  PDF
• 2020-10-07 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix    Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier arXiv_AI arXiv_AI  Gradient_Descent  Pose  Attention  PDF
• 2020-10-07 Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: ASentiment Polarity Classifier for YouTube Commentswith Code-switching between Tamil, Malayalam andEnglish    BalaSundaraRaman Lakshmanan, Sanjeeth Kumar Ravindranath arXiv_CL arXiv_CL  Gradient_Descent  RNN  Detection  Sentiment  PDF
• 2020-10-05 Best Buddies Registration for Point Clouds    Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes arXiv_CV arXiv_CV  Gradient_Descent  Point_Cloud  Sparse  Pose  Matching  PDF
• 2020-10-05 DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks    Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy arXiv_CV arXiv_CV  Gradient_Descent  Pose  Deep_Learning  Inference  PDF
• 2020-10-05 Learning Manifold Implicitly via Explicit Heat-Kernel Learning    Yufan Zhou, Changyou Chen, Jinhui Xu arXiv_CV arXiv_CV  Embedding  Gradient_Descent  Pose  Inference  PDF
• 2020-10-04 New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation    Pavel Tolmachev, Jonathan H. Manton arXiv_CV arXiv_CV  Gradient_Descent  Pose  GAN  PDF
• 2020-10-02 Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent    Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  PDF
• 2020-10-01 Implicit Rank-Minimizing Autoencoder    Li Jing, Jure Zbontar, Yann LeCun arXiv_CV arXiv_CV  Gradient_Descent  Represenation_Learning  PDF
• 2020-10-01 Understanding the Role of Adversarial Regularization in Supervised Learning    Litu Rout arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Adversarial  PDF
• 2020-10-01 Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability    Litu Rout arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Action  GAN  PDF
• 2020-10-01 Phase retrieval with Bregman divergences and application to audio signal recovery    Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte arXiv_SD arXiv_SD  Gradient_Descent  Restoration  Pose  PDF
• 2020-09-27 Beneficial Perturbation Network for designing general adaptive artificial intelligence systems    Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti arXiv_AI arXiv_AI  Gradient_Descent  Salient  Adversarial  Pose  PDF
• 2020-09-24 How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks    Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  PDF
• 2020-09-24 Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics    Yanshi Luo, Abdeslam Boularias, Mridul Aanjaneya arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Pose  Prediction  PDF
• 2020-09-22 Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers    Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  Autonomous  PDF
• 2020-09-21 Contextual Bandits for adapting to changing User preferences over time    Dattaraj Rao arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Action  Prediction  Recommendation  PDF
• 2020-09-17 Holistic Filter Pruning for Efficient Deep Neural Networks    Lukas Enderich, Fabian Timm, Wolfram Burgard arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-09-16 Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem    Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanović arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Optimization  Action  PDF
• 2020-09-15 Constrained Labeling for Weakly Supervised Learning    Chidubem Arachie, Bert Huang arXiv_AI arXiv_AI  Gradient_Descent  Weakly_Supervised  Pose  Classification  Relation  PDF
• 2020-09-15 Learning Functors using Gradient Descent    Bruno Gavranović arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Relation  Attention  GAN  PDF
• 2020-09-14 Deforming the Loss Surface to Affect the Behaviour of the Optimizer    Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Face  Deep_Learning  CNN  PDF
• 2020-09-11 Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification    Nicolo Colombo, Yang Gao arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Action  Classification  Deep_Learning  PDF
• 2020-09-10 Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent    Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Quantitative  Classification  PDF
• 2020-09-10 Momentum-based Gradient Methods in Multi-objective Recommender Systems    Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat arXiv_AI arXiv_AI  Gradient_Descent  Recommendation  PDF
• 2020-09-09 Blind Image Restoration with Flow Based Priors    Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah, Markus Gross, Christopher Schroers arXiv_CV arXiv_CV  Gradient_Descent  Enhancement  Restoration  Optimization  Regularization  Knowledge  Pose  Image_Enhancement  Denoising  PDF
• 2020-09-08 Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression    Eunho Koo, Hyungjun Kim arXiv_AI arXiv_AI  Gradient_Descent  Pose  Prediction  PDF
• 2020-09-07 Efficient Projection Algorithms onto the Weighted l1 Ball    Guillaume Perez, Sebastian Ament, Carla Gomes, Michel Barlaud arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Sparse  Pose  PDF
• 2020-09-01 Training Deep Neural Networks with Constrained Learning Parameters    Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail arXiv_CV arXiv_CV  Gradient_Descent  Pose  Deep_Learning  PDF
• 2020-08-31 Continuous Color Transfer    Chunzhi Gu, Xuequan Lu, Chao Zhang arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Regularization  Pose  Quantitative  Attention  PDF
• 2020-08-27 Adversarially Robust Learning via Entropic Regularization    Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Adversarial  Pose  Classification  PDF
• 2020-08-23 Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack    Hadi Mansourifar, Weidong Shi arXiv_CV arXiv_CV  Reconstruction  Face_Detection  Gradient_Descent  Recognition  Pose  Face  Detection  Face_Recognition  PDF
• 2020-08-22 Self-Competitive Neural Networks    Iman Saberi, Fathiyeh Faghih arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Adversarial  Pose  Action  Classification  PDF
• 2020-08-22 nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks    Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans arXiv_SD arXiv_SD  Gradient_Descent  Pose  CNN  PDF
• 2020-08-20 Large scale distributed neural network training through online distillation    Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Language_Model  Prediction  PDF
• 2020-08-20 Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior    Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Deep_Learning  Denoising  Attention  Medical  CNN  PDF
• 2020-08-19 Human Body Model Fitting by Learned Gradient Descent    Jie Song, Xu Chen, Otmar Hilliges arXiv_CV arXiv_CV  Gradient_Descent  3D  Optimization  Regularization  Pose  PDF
• 2020-08-18 Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems    Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan arXiv_SD arXiv_SD  Gradient_Descent  Recognition  Adversarial  PDF
• 2020-08-17 Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation    Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi arXiv_CV arXiv_CV  NAS  Segmentation  Gradient_Descent  3D  Optimization  Regularization  Pose  PDF
• 2020-08-16 Neural Descent for Visual 3D Human Pose and Shape    Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  3D  Self-Supervised  Pose  PDF
• 2020-08-14 Three Variants of Differential Privacy: Lossless Conversion and Applications    Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar arXiv_AI arXiv_AI  Gradient_Descent  Pose  Deep_Learning  Relation  PDF
• 2020-08-11 Learned Proximal Networks for Quantitative Susceptibility Mapping    Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl, Xu Li, Jeremias Sulam arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Restoration  Regularization  Pose  Quantitative  Deep_Learning  Medical  CNN  PDF
• 2020-08-11 Image segmentation via Cellular Automata    Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agúera y Arcas arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Pose  GAN  PDF
• 2020-08-10 Invertible Neural BRDF for Object Inverse Rendering    Zhe Chen, Shohei Nobuhara, Ko Nishino arXiv_CV arXiv_CV  Gradient_Descent  PDF
• 2020-08-05 Improving End-to-End Speech-to-Intent Classification with Reptile    Yusheng Tian, Philip John Gorinski arXiv_CL arXiv_CL  Gradient_Descent  Recognition  Speech  Pose  Classification  Speech_Recognition  Prediction  PDF
• 2020-08-03 Learning to Purify Noisy Labels via Meta Soft Label Corrector    Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-07-27 Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification    Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger arXiv_CV arXiv_CV  Surveillance  Person_Re-identification  Unsupervised  Gradient_Descent  Recognition  Optimization  Pose  Deep_Learning  Re-identification  PDF
• 2020-07-27 A Unified Framework of Surrogate Loss by Refactoring and Interpolation    Lanlan Liu, Mingzhe Wang, Jia Deng arXiv_CV arXiv_CV  Gradient_Descent  PDF
• 2020-07-27 Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration    Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray arXiv_CV arXiv_CV  Gradient_Descent  3D  Optimization  Pose  PDF
• 2020-07-27 NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets    Hamada A. Nayel arXiv_CL arXiv_CL  Gradient_Descent  Optimization  Pose  Detection  PDF
• 2020-07-25 AutoClip: Adaptive Gradient Clipping for Source Separation Networks    Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux arXiv_SD arXiv_SD  Gradient_Descent  Optimization  PDF
• 2020-07-25 Economical ensembles with hypernetworks    João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Pose  Deep_Learning  Prediction  PDF
• 2020-07-24 Deforming the Loss Surface    Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Face  Deep_Learning  CNN  PDF
• 2020-07-20 NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search    Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti arXiv_CV arXiv_CV  NAS  Transfer_Learning  Gradient_Descent  Pose  GAN  PDF
• 2020-07-20 Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent    Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Sparse  Knowledge  Medical  PDF
• 2020-07-18 Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing    Yajie Xing, Jingbo Wang, Gang Zeng arXiv_CV arXiv_CV  Segmentation  Scene_Parsing  Semantic_Segmentation  Gradient_Descent  3D  Pose  Relation  PDF
• 2020-07-18 Drinking from a Firehose: Continual Learning with Web-scale Natural Language    Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun arXiv_AI arXiv_AI  Gradient_Descent  Language_Model  PDF
• 2020-07-16 Meta-Gradient Reinforcement Learning with an Objective Discovered Online    Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Pose  PDF
• 2020-07-16 DeepInit Phase Retrieval    Martin Reiche, Peter Jung arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Pose  Action  PDF
• 2020-07-14 Video Object Segmentation with Episodic Graph Memory Networks    Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Zero-Shot  Memory_Networks  Knowledge  Pose  Relation  GAN  Prediction  PDF
• 2020-07-14 From Symmetry to Geometry: Tractable Nonconvex Problems    Yuqian Zhang, Qing Qu, John Wright arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Survey  Prediction  PDF
• 2020-07-13 Gradient Descent over Metagrammars for Syntax-Guided Synthesis    Nicolas Chan, Elizabeth Polgreen, Sanjit A. Seshia arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2020-07-11 Meta Soft Label Generation for Noisy Labels    Görkem Algan, Ilkay Ulusoy arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-07-10 Representations for Stable Off-Policy Reinforcement Learning    Dibya Ghosh, Marc G. Bellemare arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Represenation_Learning  PDF
• 2020-07-08 BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning    Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-07-06 Kernel Stein Generative Modeling    Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Pose  GAN  Inference  PDF
• 2020-07-01 Asynchronous Real-Time Optimization of Footstep Placement andTiming in Bipedal Walking Robots    Digby Chappell, Ke Wang, Petar Kormushev arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Action  PDF
• 2020-06-30 Learning to Read through Machine Teaching    Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu arXiv_CL arXiv_CL  Gradient_Descent  Optimization  Pose  PDF
• 2020-06-28 Multiclass Classification with an Ensemble of Binary Classification Deep Networks    Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Pose  Classification  CNN  PDF
• 2020-06-28 When and How Can Deep Generative Models be Inverted?    Aviad Aberdam, Dror Simon, Michael Elad arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Pose  GAN  PDF
• 2020-06-27 Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations    Dongdong Chen, Mike E. Davies, Mohammad Golbabaee arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Pose  Quantitative  Deep_Learning  Inference  Prediction  Matching  PDF
• 2020-06-26 Traditional and accelerated gradient descent for neural architecture search    Nicolas Garcia Trillos, Felix Morales, Javier Morales arXiv_AI arXiv_AI  NAS  Gradient_Descent  Optimization  PDF
• 2020-06-25 Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction    Melanie Bernhardt, Valery Vishnevskiy, Richard Rau, Orcun Goksel arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Optimization  Regularization  Pose  PDF
• 2020-06-25 Distributionally Robust Deep Learning using Hardness Weighted Sampling    Lucas Fidon, Sebastien Ourselin, Tom Vercauteren arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2020-06-23 Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences    Laureline Logiaco, G. Sean Escola arXiv_AI arXiv_AI  Gradient_Descent  RNN  PDF
• 2020-06-23 Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation    Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Recognition  Adversarial  Pose  Face  Face_Recognition  PDF
• 2020-06-20 Towards Understanding Label Smoothing    Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Regularization  Knowledge  Pose  PDF
• 2020-06-20 A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems    Junqi Tang, Mike Davies arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-06-16 Cogradient Descent for Bilinear Optimization    Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David Doermann, Guodong Guo, Rongrong Ji arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Inpainting  Optimization  Relation  PDF
• 2020-06-16 Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization    Chong You, Zhihui Zhu, Qing Qu, Yi Ma arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Knowledge  CNN  PDF
• 2020-06-15 Slowing Down the Weight Norm Increase in Momentum-based Optimizers    Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  Detection  Object_Detection  Image_Classification  PDF
• 2020-06-14 Meta Approach to Data Augmentation Optimization    Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Optimization  Pose  Classification  Image_Classification  PDF
• 2020-06-13 The Pitfalls of Simplicity Bias in Neural Networks    Harshay Shah, Kaustav Tamuly, Aditi Raghunathan, Prateek Jain, Praneeth Netrapalli arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  PDF
• 2020-06-12 FedGAN: Federated Generative AdversarialNetworks for Distributed Data    Mohammad Rasouli, Tao Sun, Ram Rajagopal arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  GAN  PDF
• 2020-06-11 Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline    Adora M. DSouza, Anas Z. Abidin, Axel Wismüller arXiv_CV arXiv_CV  Gradient_Descent  Quantitative  Classification  PDF
• 2020-06-11 Hypernetwork-Based Augmentation    Chih-Yang Chen, Che-Han Chang, Edward Y. Chang arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2020-06-10 Scalable Partial Explainability in Neural Networks via Flexible Activation Functions    Schyler C. Sun, Chen Li, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo arXiv_AI arXiv_AI  Gradient_Descent  Salient  Pose  Quantitative  Classification  Deep_Learning  Relation  PDF
• 2020-06-09 Supervised Learning of Sparsity-Promoting Regularizers for Denoising    Michael T. McCann, Saiprasad Ravishankar arXiv_CV arXiv_CV  Reconstruction  Unsupervised  Gradient_Descent  Optimization  Regularization  Pose  Denoising  CNN  PDF
• 2020-06-07 Learning Behaviors with Uncertain Human Feedback    Xu He, Haipeng Chen, Bo An arXiv_AI arXiv_AI  Gradient_Descent  Pose  Action  PDF
• 2020-06-05 Discovering Parametric Activation Functions    Garrett Bingham, Risto Miikkulainen arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Classification  Deep_Learning  Image_Classification  PDF
• 2020-06-04 GAN-Based Facial Attractiveness Enhancement    Yuhongze Zhou, Qinjie Xiao arXiv_CV arXiv_CV  Gradient_Descent  Enhancement  Adversarial  Pose  Face  GAN  PDF
• 2020-06-03 CNN Denoisers As Non-Local Filters: The Neural Tangent Denoiser    Julián Tachella, Junqi Tang, Mike Davies arXiv_CV arXiv_CV  Gradient_Descent  3D  Restoration  Denoising  CNN  PDF
• 2020-05-28 Unsupervised Audio Source Separation using Generative Priors    Vivek Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias arXiv_SD arXiv_SD  Unsupervised  Gradient_Descent  Optimization  Pose  GAN  PDF
• 2020-05-25 Learning Wavefront Coding for Extended Depth of Field Imaging    Ugur Akpinar, Erdem Sahin, Monjurul Meem, Rajesh Menon, Atanas Gotchev arXiv_CV arXiv_CV  Gradient_Descent  3D  Pose  CNN  PDF
• 2020-05-22 Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification    Hongyu Li, Xiaogang Huang, Zhihui Fu, Xiaolin Li arXiv_CV arXiv_CV  Gradient_Descent  Pose  Deep_Learning  PDF
• 2020-05-22 Position-based Scaled Gradient for Model Quantization and Sparse Training    Jangho Kim, KiYoon Yoo, Nojun Kwak arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Sparse  Pose  PDF
• 2020-05-20 Map Generation from Large Scale Incomplete and Inaccurate Data Labels    Rui Zhang, Conrad Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu arXiv_CV arXiv_CV  Gradient_Descent  GAN  CNN  PDF
• 2020-05-19 Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization    Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski arXiv_CV arXiv_CV  Embedding  Gradient_Descent  Sparse  PDF
• 2020-05-10 Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images    Mathias Rothermel, Ke Gong, Dieter Fritsch, Konrad Schindler, Norbert Haala arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  3D  Pose  Face  Matching  PDF
• 2020-05-07 Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation    Reinhard Heckel, Mahdi Soltanolkotabi arXiv_CV arXiv_CV  Gradient_Descent  Restoration  Optimization  Regularization  Compressive_Sensing  Denoising  CNN  PDF
• 2020-05-07 DMCP: Differentiable Markov Channel Pruning for Neural Networks    Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Pose  PDF
• 2020-05-04 A Model-driven Deep Neural Network for Single Image Rain Removal    Hong Wang, Qi Xie, Qian Zhao, Deyu Meng arXiv_CV arXiv_CV  Gradient_Descent  Pose  Quantitative  Deep_Learning  CNN  PDF
• 2020-05-03 On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective    Tom Tirer, Raja Giryes arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Optimization  Pose  GAN  PDF
• 2020-04-30 Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter    Zhengyu Zhao, Zhuoran Liu, Martha Larson arXiv_CV arXiv_CV  Gradient_Descent  Enhancement  Adversarial  Image_Enhancement  Classification  PDF
• 2020-04-30 MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking    Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Adversarial  Pose  Detection  GAN  PDF
• 2020-04-30 TRP: Trained Rank Pruning for Efficient Deep Neural Networks    Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Pose  Prediction  PDF
• 2020-04-30 Physarum Powered Differentiable Linear Programming Layers and Applications    Zihang Meng, Sathya N. Ravi, Vikas Singh arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Review  Pose  Few-Shot  PDF
• 2020-04-27 Maximum Entropy Multi-Task Inverse RL    Saurabh Arora, Bikramjit Banerjee, Prashant Doshi arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2020-04-24 Towards Differentiable Resampling    Michael Zhu, Kevin Murphy, Rico Jonschkowski arXiv_AI arXiv_AI  Transformer  Gradient_Descent  PDF
• 2020-04-22 Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent    Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Adversarial  Pose  GAN  Inference  PDF
• 2020-04-19 Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization    Homanga Bharadhwaj, Kevin Xie, Florian Shkurti arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Optimization  Pose  Action  PDF
• 2020-04-17 DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications    Yun Zeng, Siqi Zuo, Dongcai Shen arXiv_AI arXiv_AI  Embedding  Gradient_Descent  Sparse  Pose  Action  Deep_Learning  PDF
• 2020-04-17 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning    Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Pose  Activity  PDF
• 2020-04-17 Highway Transformer: Self-Gating Enhanced Self-Attentive Networks    Yekun Chai, Jin Shuo, Xinwen Hou arXiv_CL arXiv_CL  Transformer  Embedding  Gradient_Descent  Optimization  RNN  Attention  PDF
• 2020-04-15 A Communication Efficient Collaborative Learning Framework for Distributed Features    Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-04-14 Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision    Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Weakly_Supervised  Optimization  Pose  Deep_Learning  PDF
• 2020-04-13 MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera    Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Pose  PDF
• 2020-04-11 Exploit Where Optimizer Explores via Residuals    An Xu, Zhouyuan Huo, Heng Huang arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Classification  Deep_Learning  Image_Classification  Language_Model  PDF
• 2020-04-08 Deep Manifold Prior    Matheus Gadelha, Rui Wang, Subhransu Maji arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Point_Cloud  3D  Face  Denoising  CNN  PDF
• 2020-04-06 Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight    Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-04-03 Gradient Centralization: A New Optimization Technique for Deep Neural Networks    Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Classification  Detection  Image_Classification  PDF
• 2020-04-02 Tracking by Instance Detection: A Meta-Learning Approach    Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng arXiv_CV arXiv_CV  Tracking  Gradient_Descent  Pose  Detection  Object_Detection  PDF
• 2020-03-30 Adaptive Group Sparse Regularization for Continual Learning    Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Sparse  Regularization  Pose  PDF
• 2020-03-30 Multi-Objective Matrix Normalization for Fine-grained Visual Recognition    Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Pose  PDF
• 2020-03-29 Disturbance-immune Weight Sharing for Neural Architecture Search    Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan arXiv_CV arXiv_CV  NAS  Gradient_Descent  Knowledge  Pose  Attention  PDF
• 2020-03-29 Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent    Christian Henkel, Marc Toussaint arXiv_AI arXiv_AI  Gradient_Descent  Autonomous  PDF
• 2020-03-24 Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration    Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell Taylor, Mathias Unberath arXiv_CV arXiv_CV  Transformer  Gradient_Descent  3D  Knowledge  Pose  Medical  PDF
• 2020-03-24 Robust and On-the-fly Dataset Denoising for Image Classification    Jiaming Song, Lunjia Hu, Yann Dauphin, Michael Auli, Tengyu Ma arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  Denoising  Image_Classification  PDF
• 2020-03-17 Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis    Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, WenGao arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  Attention  CNN  Image_Classification  PDF
• 2020-03-15 A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems    Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Optimization  Regularization  Pose  PDF
• 2020-03-11 Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration    Dominique Beaini, Sofiane Achiche, Maxime Raison arXiv_AI arXiv_AI  Gradient_Descent  3D  Regularization  Pose  CNN  PDF
• 2020-03-10 SuperMix: Supervising the Mixing Data Augmentation    Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Salient  Knowledge  Pose  Classification  PDF
• 2020-03-10 Learning to be Global Optimizer    Haotian Zhang, Jianyong Sun, Zongben Xu arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Optimization  Pose  Classification  Deep_Learning  Image_Classification  PDF
• 2020-03-10 Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion    Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-03-10 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation    Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas Huang, Terrence Chen arXiv_AI arXiv_AI  Tracking  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2020-03-09 BitTensor: An Intermodel Intelligence Measure    Jacob Steeves, Ala Shaabana, Matthew McAteer arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2020-03-08 No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks    Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  Detection  Object_Detection  Medical  PDF
• 2020-03-07 ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training    Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou arXiv_AI arXiv_AI  Gradient_Descent  Pose  Action  Prediction  PDF
• 2020-03-02 Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware    Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Represenation_Learning  Pose  Autonomous  Inference  PDF
• 2020-03-01 Stein Variational Inference for Discrete Distributions    Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu arXiv_AI arXiv_AI  Gradient_Descent  Pose  Inference  PDF
• 2020-02-28 Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior    Fahad Shamshad, Ali Ahmed arXiv_CV arXiv_CV  Gradient_Descent  Pose  CNN  PDF
• 2020-02-27 Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?    Xiang Deng, Zhongfei Zhang arXiv_CV arXiv_CV  Gradient_Descent  Pose  Few-Shot  PDF
• 2020-02-27 Auto-Encoding Twin-Bottleneck Hashing    Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Knowledge  Pose  PDF
• 2020-02-26 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger    Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  PDF
• 2020-02-25 Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization    Satrajit Chatterjee arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2020-02-24 Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition    Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David Kung arXiv_AI arXiv_AI  Gradient_Descent  Recognition  Speech  Deep_Learning  Speech_Recognition  PDF
• 2020-02-24 LogicGAN: Logic-guided Generative Adversarial Networks    Laura Graves, Vineel Nagisetty, Joseph Scott, Vijay Ganesh arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  Classification  GAN  PDF
• 2020-02-24 The Early Phase of Neural Network Training    Jonathan Frankle, David J. Schwab, Ari S. Morcos arXiv_AI arXiv_AI  Gradient_Descent  Sparse  Self-Supervised  Quantitative  PDF
• 2020-02-22 PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments    Anirudha Majumdar, Alec Farid, Anoopkumar Sonar arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Action  Drone  PDF
• 2020-02-21 UnMask: Adversarial Detection and Defense Through Robust Feature Alignment    Scott Freitas, Shang-Tse Chen, Zijie Wang, Duen Horng Chau arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Classification  Deep_Learning  Detection  Medical  PDF
• 2020-02-19 Encoding Physical Constraints in Differentiable Newton-Euler Algorithm    Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier arXiv_RO arXiv_RO  Gradient_Descent  Prediction  PDF
• 2020-02-18 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent    Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  Classification  Attention  Image_Classification  PDF
• 2020-02-18 TensorShield: Tensor-based Defense Against Adversarial Attacks on Images    Negin Entezari, Evangelos E. Papalexakis arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Classification  CNN  Image_Classification  PDF
• 2020-02-17 Multi-Gradient Descent for Multi-Objective Recommender Systems    Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat arXiv_AI arXiv_AI  Gradient_Descent  Recommendation  PDF
• 2020-02-17 Learning Deep Gradient Descent Optimization for Image Deconvolution    Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang arXiv_CV arXiv_CV  Gradient_Descent  Restoration  Optimization  Regularization  Pose  CNN  PDF
• 2020-02-13 Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task    Tomás Völker, Guillaume Boisson, Bertrand Chupeau arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Sparse  Pose  CNN  PDF
• 2020-02-11 Improving the affordability of robustness training for DNNs    Sidharth Gupta, Parijat Dube, Ashish Verma arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  PDF
• 2020-02-10 Deep Gated Networks: A framework to understand training and generalisation in deep learning    Chandrashekar Lakshminarayanan, Amit Vikram Singh arXiv_AI arXiv_AI  Gradient_Descent  Deep_Learning  PDF
• 2020-02-10 Iterative energy-based projection on a normal data manifold for anomaly localization    David Dehaene, Oriel Frigo, Sébastien Combrexelle, Pierre Eline arXiv_CV arXiv_CV  Reconstruction  Segmentation  Unsupervised  Gradient_Descent  Inpainting  Regularization  Pose  PDF
• 2020-02-10 Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering    Chihao Zhang, Yang Yang, Wei Zhang, Shihua Zhang arXiv_CV arXiv_CV  Gradient_Descent  Knowledge  Pose  Inference  PDF
• 2020-02-10 Pairwise Neural Networks with Low Memory for Fast On-Device Applications    Luna M. Zhang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Deep_Learning  CNN  Prediction  PDF
• 2020-02-10 A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast    Zeke Xie, Issei Sato, Masashi Sugiyama arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2020-02-09 On the distance between two neural networks and the stability of learning    Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu arXiv_AI arXiv_AI  Transformer  Gradient_Descent  Adversarial  GAN  PDF
• 2020-02-09 GradMix: Multi-source Transfer across Domains and Tasks    Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan Kankanhalli arXiv_CV arXiv_CV  Transfer_Learning  Gradient_Descent  Recognition  Knowledge  Pose  Action_Recognition  Action  CNN  PDF
• 2019-12-29 Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks    Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2019-12-16 Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems    Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2019-12-16 Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms    Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Optimization  RNN  Regularization  Knowledge  Pose  Deep_Learning  Medical  PDF
• 2019-12-11 End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information    Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell arXiv_AI arXiv_AI  Gradient_Descent  QA  PDF
• 2019-12-11 $Sigma$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction    Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Quantitative  GAN  PDF
• 2019-12-09 A hierarchical loss and its problems when classifying non-hierarchically    Cinna Wu, Mark Tygert, Yann LeCun arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Classification  GAN  PDF
• 2019-12-05 Analysis of the Optimization Landscapes for Overcomplete Representation Learning    Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Optimization  Sparse  Represenation_Learning  CNN  PDF
• 2019-11-30 Learning Rate Dropout    Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John Paisley arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  PDF
• 2019-11-30 A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique    Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika arXiv_CL arXiv_CL  Gradient_Descent  Pose  Classification  CNN  Language_Model  QA  PDF
• 2019-11-29 Stochastic learning control of inhomogeneous quantum ensembles    Gabriel Turinici (CEREMADE, IUF) arXiv_AI arXiv_AI  Gradient_Descent  3D  Pose  PDF
• 2019-11-27 Improving Fictitious Play Reinforcement Learning with Expanding Models    Rong-Jun Qin, Jing-Cheng Pang, Yang Yu arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Pose  Face  PDF
• 2019-11-25 Empirical Study of Easy and Hard Examples in CNN Training    Ikki Kishida, Hideki Nakayama arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  CNN  PDF
• 2019-11-18 WITCHcraft: Efficient PGD attacks with random step size    Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  PDF
• 2019-11-18 Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory    Kyle Helfrich, Qiang Ye arXiv_CV arXiv_CV  Gradient_Descent  RNN  PDF
• 2019-11-18 Implicit Regularization of Normalization Methods    Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu arXiv_CV arXiv_CV  Gradient_Descent  Regularization  PDF
• 2019-11-18 A Multi-Task Gradient Descent Method for Multi-Label Learning    Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta arXiv_AI arXiv_AI  Gradient_Descent  Pose  Relation  PDF
• 2019-11-18 Fine-Grained Neural Architecture Search    Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee arXiv_CV arXiv_CV  NAS  Gradient_Descent  Super_Resolution  Pose  Classification  GAN  Image_Classification  PDF
• 2019-11-16 Optimized CNN for PolSAR Image Classification via Differentiable Neural Architecture Search    Hongwei Dong, Siyu Zhang, Bin Zou, Lamei Zhang arXiv_CV arXiv_CV  NAS  Gradient_Descent  Knowledge  Pose  Classification  Deep_Learning  CNN  Image_Classification  PDF
• 2019-11-14 Understanding the Disharmony between Weight Normalization Family and Weight Decay: $epsilon-$shifted $L_2$ Regularizer    Li Xiang, Chen Shuo, Xia Yan, Yang Jian arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Attention  PDF
• 2019-11-09 Action Recognition Using Supervised Spiking Neural Networks    Aref Moqadam Mehr, Saeed Reza Kheradpisheh, Hadi Farahani arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Gesture  Pose  Action_Recognition  Action  PDF
• 2019-11-08 Comparison of Machine Learning Based Methods Used in Bengali Question Classification    Afra Anika, Md. Hasibur Rahman, Dr. Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman arXiv_CV arXiv_CV  Gradient_Descent  Classification  QA  PDF
• 2019-11-07 Improving Joint Training of Inference Networks and Structured Prediction Energy Networks    Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel arXiv_CL arXiv_CL  Gradient_Descent  Optimization  Pose  Inference  Prediction  PDF
• 2019-11-05 Bipolar Morphological Neural Networks: Convolution Without Multiplication    Elena Limonova, Daniil Matveev, Dmitry Nikolaev, Vladimir V. Arlazarov arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Pose  Action  CNN  Inference  PDF
• 2019-11-02 Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation    Federico A. Galatolo, Mario G.C.A. Cimino, Gigliola Vaglini arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2019-10-31 Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators    Reinhard Heckel, Mahdi Soltanolkotabi arXiv_CV arXiv_CV  Gradient_Descent  Restoration  Regularization  Pose  Compressive_Sensing  Denoising  CNN  PDF
• 2019-10-30 Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization    Priyadarshini Panda, Aparna Aketi, Kaushik Roy arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Recognition  Pose  Deep_Learning  PDF
• 2019-10-24 Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model    Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  3D  Regularization  Pose  Action  Deep_Learning  CNN  PDF
• 2019-10-23 Speaker Adaptive Training using Model Agnostic Meta-Learning    Ondřej Klejch, Joachim Fainberg, Peter Bell, Steve Renals arXiv_CL arXiv_CL  Gradient_Descent  PDF
• 2019-10-23 Autoencoding with XCSF    Richard J. Preen, Stewart W. Wilson, Larry Bull arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  PDF
• 2019-10-23 Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction    Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Sparse  Pose  Denoising  CNN  PDF
• 2019-10-22 The Practicality of Stochastic Optimization in Imaging Inverse Problems    Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Regularization  Pose  PDF
• 2019-10-22 Penalizing small errors using an Adaptive Logarithmic Loss    Chaitanya Kaul, Nick Pears, Suresh Manandhar arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Pose  Attention  Medical  Prediction  PDF
• 2019-10-21 Hyperspectral Image Classification Based on Adaptive Sparse Deep Network    Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Regularization  Pose  Classification  Image_Classification  PDF
• 2019-10-20 Leveraging inductive bias of neural networks for learning without explicit human annotations    Fatih Furkan Yilmaz, Reinhard Heckel arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Classification  PDF
• 2019-10-20 Autonomous Control of a Quadrotor-Manipulator; Application of Extended State Disturbance Observer    Kabir Abdulmajeed arXiv_RO arXiv_RO  Tracking  Gradient_Descent  Optimization  Pose  Autonomous  PDF
• 2019-10-19 Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification    Songxiang Liu, Haibin Wu, Hung-yi Lee, Helen Meng arXiv_CL arXiv_CL  Gradient_Descent  Adversarial  Pose  PDF
• 2019-10-18 Mirror Descent View for Neural Network Quantization    Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Optimization  Classification  CNN  PDF
• 2019-10-18 Combinatorial Losses through Generalized Gradients of Integer Linear Programs    Xi Gao, Han Zhang, Aliakbar Panahi, Tom Arodz arXiv_CV arXiv_CV  Gradient_Descent  Weakly_Supervised  Optimization  Face  Classification  Caption  CNN  Image_Classification  Inference  Matching  PDF
• 2019-10-17 Probabilistic Model-Agnostic Meta-Learning    Chelsea Finn, Kelvin Xu, Sergey Levine arXiv_AI arXiv_AI  Gradient_Descent  Pose  Few-Shot  PDF
• 2019-10-15 The Local Elasticity of Neural Networks    Hangfeng He, Weijie J. Su arXiv_CV arXiv_CV  Gradient_Descent  Prediction  PDF
• 2019-10-13 Implicit competitive regularization in GANs    Florian Schäfer, Hongkai Zheng, Anima Anandkumar arXiv_AI arXiv_AI  Gradient_Descent  Regularization  Adversarial  Pose  GAN  PDF
• 2019-10-10 Searching for A Robust Neural Architecture in Four GPU Hours    Xuanyi Dong, Yi Yang arXiv_CV arXiv_CV  NAS  Gradient_Descent  Reinforcement_Learning  Pose  PDF
• 2019-10-09 Traned Rank Pruning for Efficient Deep Neural Networks    Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Pose  Inference  Prediction  PDF
• 2019-10-08 Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications    Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari arXiv_AI arXiv_AI  Gradient_Descent  Recognition  Adversarial  Pose  Classification  Deep_Learning  Prediction  PDF
• 2019-10-06 Joint Image and Depth Estimation with Mask-Based Lensless Cameras    Yucheng Zheng, M. Salman Asif arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  3D  Sparse  Pose  PDF
• 2019-10-06 Splitting Steepest Descent for Growing Neural Architectures    Qiang Liu, Lemeng Wu, Dilin Wang arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2019-10-01 Adaptive Continuous Visual Odometry from RGB-D Images    Tzu-Yuan Lin, William Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony Bloch, Maani Ghaffari arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2019-10-01 A Fast and Robust Algorithm for Orientation Estimation using Inertial Sensors    Manon Kok, Thomas B. Schön arXiv_RO arXiv_RO  Gradient_Descent  PDF
• 2019-10-01 The asymptotic spectrum of the Hessian of DNN throughout training    Arthur Jacot, Franck Gabriel, Clément Hongler arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2019-09-30 Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML    Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May Obelilly arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Adversarial  Pose  PDF
• 2019-09-30 Nonlinear Dipole Inversion enables Quantitative Susceptibility Mapping without parameter tuning    Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Srinivasan Iyer, Jongho Lee, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic arXiv_AI arXiv_AI  Reconstruction  Gradient_Descent  Regularization  Pose  Quantitative  Deep_Learning  Matching  PDF
• 2019-09-29 Learning to Self-Train for Semi-Supervised Few-Shot Classification    Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Optimization  Pose  Classification  Few-Shot  PDF
• 2019-09-28 Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification    Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  CNN  Image_Classification  PDF
• 2019-09-27 TORM: Collision-Free Trajectory Optimization of Redundant Manipulator given an End-Effector Path    Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Pose  PDF
• 2019-09-27 A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms    Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu arXiv_CV arXiv_CV  Gradient_Descent  Recognition  RNN  Pose  Attention  QA  PDF
• 2019-09-27 DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation    Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Pose  Inference  Matching  PDF
• 2019-09-23 Scheduled Differentiable Architecture Search for Visual Recognition    Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei arXiv_CV arXiv_CV  NAS  Gradient_Descent  Recognition  Pose  CNN  PDF
• 2019-09-21 Using Statistics to Automate Stochastic Optimization    Hunter Lang, Pengchuan Zhang, Lin Xiao arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2019-09-19 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks    Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi arXiv_CV arXiv_CV  Gradient_Descent  Regularization  Adversarial  Pose  CNN  PDF
• 2019-09-17 Weak Edge Identification Nets for Ocean Front Detection    Qingyang Li, Guoqiang Zhong, Cui Xie arXiv_CV arXiv_CV  Edge_Detection  Gradient_Descent  Pose  Quantitative  Deep_Learning  Detection  Relation  PDF
• 2019-09-16 Learning Spatial Awareness to Improve Crowd Counting    Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander Hauptmann arXiv_CV arXiv_CV  Gradient_Descent  Weakly_Supervised  Pose  Deep_Learning  CNN  PDF
• 2019-09-13 DARTS+: Improved Differentiable Architecture Search with Early Stopping    Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li arXiv_CV arXiv_CV  NAS  Gradient_Descent  Optimization  Pose  PDF
• 2019-09-12 A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors    Pietro Pierpaoli, Thinh Doan, Justing Romberg, Magnus Egerstedt arXiv_RO arXiv_RO  Gradient_Descent  Reinforcement_Learning  Pose  Action  PDF
• 2019-09-12 Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers    Fathma Siddique, Shadman Sakib, Md. Abu Bakr Siddique arXiv_CV arXiv_CV  Surveillance  Gradient_Descent  Recognition  Speech  Face  Classification  Deep_Learning  Face_Recognition  Speech_Recognition  Drone  CNN  PDF
• 2019-09-12 diffGrad: An Optimization Method for Convolutional Neural Networks    Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  CNN  PDF
• 2019-09-11 Sparse and Imperceivable Adversarial Attacks    Francesco Croce, Matthias Hein arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Adversarial  Pose  PDF
• 2019-09-08 Distributed Word2Vec using Graph Analytics Frameworks    Gurbinder Gill (1), Roshan Dathathri (1), Saeed Maleki (2), Madan Musuvathi (2), Todd Mytkowicz (2), Olli Saarikivi (2) ((1) The University of Texas at Austin, (2) Microsoft Research) arXiv_CL arXiv_CL  Embedding  Gradient_Descent  Language_Model  PDF
• 2019-09-05 Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity    Vladislav Golyanik, André Jonas, Didier Stricker, Christian Theobalt arXiv_CV arXiv_CV  Reconstruction  Tracking  Gradient_Descent  Knowledge  Pose  Face  Detection  PDF
• 2019-09-05 Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring    Olivier Goudet, Béatrice Duval, Jin-Kao Hao arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  PDF
• 2019-09-03 Face-to-Parameter Translation for Game Character Auto-Creation    Tianyang Shi (1), Yi Yuan (1), Changjie Fan (1), Zhengxia Zou (2), Zhenwei Shi (3), Yong Liu (4) ((1) NetEase Fuxi AI Lab, (2) University of Michigan, (3) Beihang University, (4) Zhejiang University) arXiv_CV arXiv_CV  Style_Transfer  Gradient_Descent  Optimization  Pose  Face  PDF
• 2019-08-25 What are Neural Networks made of?    Rene Schaub arXiv_AI arXiv_AI  Gradient_Descent  Deep_Learning  PDF
• 2019-08-20 On Analog Gradient Descent Learning over Multiple Access Fading Channels    Tomer Sery, Kobi Cohen arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2019-08-20 Blind Image Deconvolution using Pretrained Generative Priors    Muhammad Asim, Fahad Shamshad, Ali Ahmed arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2019-08-15 Accelerated CNN Training Through Gradient Approximation    Ziheng Wang, Sree Harsha Nelaturu arXiv_CV arXiv_CV  Gradient_Descent  Pose  CNN  PDF
• 2019-08-08 Constrained domain adaptation for segmentation    Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Knowledge  Adversarial  Pose  Prediction  PDF
• 2019-08-07 Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations    Andras Rozsa, Terrance E. Boult arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Deep_Learning  Attention  PDF
• 2019-07-29 End-to-End Learning Deep CRF models for Multi-Object Tracking    Jun Xiang, Ma Chao, Guohan Xu, Jianhua Hou arXiv_CV arXiv_CV  Tracking  Gradient_Descent  Object_Tracking  RNN  Pose  Detection  Inference  PDF
• 2019-07-25 Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine    Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott, Merrill Knapp, Akos Vertes arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Inference  PDF
• 2019-07-22 Speeding Up Iterative Closest Point Using Stochastic Gradient Descent    Fahira Afzal Maken, Fabio Ramos, Lionel Ott arXiv_RO arXiv_RO  Gradient_Descent  Point_Cloud  3D  Pose_Estimation  Pose  SLAM  Autonomous  PDF
• 2019-07-21 Alice's Adventures in the Markovian World    Zhanzhan Zhao, Haoran Sun arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Regularization  Pose  Action  Relation  PDF
• 2019-07-17 ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks    Xuankang Lin, He Zhu, Roopsha Samanta, Suresh Jagannathan arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Action  PDF
• 2019-07-16 Learning Multimodal Fixed-Point Weights using Gradient Descent    Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Optimization  Pose  PDF
• 2019-07-16 Compositional Deep Learning    Bruno Gavranović arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Deep_Learning  GAN  PDF
• 2019-07-15 Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures    Shota Saito, Shinichi Shirakawa arXiv_CV arXiv_CV  NAS  Gradient_Descent  Optimization  Pose  CNN  PDF
• 2019-07-11 Diverse Trajectory Forecasting with Determinantal Point Processes    Ye Yuan, Kris Kitani arXiv_AI arXiv_AI  Gradient_Descent  Pose  Autonomous  PDF
• 2019-07-10 Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition    Xiaodong Cui, Michael Picheny arXiv_CL arXiv_CL  Gradient_Descent  Recognition  Optimization  Speech  Pose  Speech_Recognition  PDF
• 2019-07-10 A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition    Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David Kung, Michael Picheny arXiv_SD arXiv_SD  Gradient_Descent  Recognition  Knowledge  Speech  Pose  Deep_Learning  Speech_Recognition  PDF
• 2019-07-05 Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network    Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  CNN  Image_Classification  Prediction  QA  PDF
• 2019-07-03 Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression    Marcus Märtens, Dario Izzo arXiv_CV arXiv_CV  NAS  Gradient_Descent  Pose  Deep_Learning  Relation  PDF
• 2019-06-29 The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants    Gal Raayoni, George Pisha, Yahel Manor, Uri Mendlovic, Doron Haviv, Yaron Hadad, Ido Kaminer arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Pose  Action  Matching  PDF
• 2019-06-28 Searching for Interaction Functions in Collaborative Filtering    Quanming Yao, Xiangning Chen, James Kwok, Yong Li arXiv_CV arXiv_CV  Gradient_Descent  Review  Pose  Action  Prediction  PDF
• 2019-06-26 NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles    Sorin Grigorescu, Bogdan Trasnea, Liviu Marina, Andrei Vasilcoi, Tiberiu Cocias arXiv_RO arXiv_RO  Gradient_Descent  Reinforcement_Learning  Pose  Action  Deep_Learning  Autonomous  Prediction  PDF
• 2019-06-22 Beneficial perturbation network for continual learning    Shixian Wen, Laurent Itti arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Adversarial  Pose  PDF
• 2019-06-21 Deep Polyphonic ADSR Piano Note Transcription    Rainer Kelz, Sebastian Böck, Gerhard Widmer arXiv_SD arXiv_SD  Segmentation  Gradient_Descent  PDF
• 2019-06-20 Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors    Gauri Jagatap, Chinmay Hegde arXiv_CV arXiv_CV  Gradient_Descent  Inpainting  Super_Resolution  Compressive_Sensing  Denoising  PDF
• 2019-06-20 Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks    Adam Byerly, Tatiana Kalganova arXiv_CV arXiv_CV  Gradient_Descent  Classification  CNN  PDF
• 2019-06-20 The trade-off between long-term memory and smoothness for recurrent networks    Antônio H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas B. Schön arXiv_CV arXiv_CV  Gradient_Descent  RNN  PDF
• 2019-06-18 DeepView: View Synthesis with Learned Gradient Descent    John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, Richard Tucker arXiv_CV arXiv_CV  Gradient_Descent  Sparse  PDF
• 2019-06-17 Inspirational Adversarial Image Generation    Morgane Riviere, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Adversarial  Pose  Face  Attention  GAN  PDF
• 2019-06-17 A new approach to forecasting service parts demand by integrating user preferences into multi-objective optimization    Wenli Ouyang arXiv_AI arXiv_AI  Gradient_Descent  Optimization  RNN  Pose  PDF
• 2019-06-15 RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm    Jayasree Saha, Jayanta Mukhopadhyay arXiv_CV arXiv_CV  Segmentation  Embedding  Unsupervised  Gradient_Descent  Pose  Face  Action  Classification  Attention  CNN  PDF
• 2019-06-13 Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications    Mojtaba Moattari, Emad Roshandel, Shima Kamyab, Zohreh Azimifar arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Pose  PDF
• 2019-06-12 DeepFlow: History Matching in the Space of Deep Generative Models    Lukas Mosser, Olivier Dubrule, Martin J. Blunt arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Face  Matching  PDF
• 2019-06-08 Making Asynchronous Stochastic Gradient Descent Work for Transformers    Alham Fikri Aji, Kenneth Heafield arXiv_AI arXiv_AI  Transformer  Gradient_Descent  PDF
• 2019-06-05 A Robust Roll Angle Estimation Algorithm Based on Gradient Descent    Rui Fan, Lujia Wang, Ming Liu, Ioannis Pitas arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2019-05-31 Implicit Regularization in Deep Matrix Factorization    Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Deep_Learning  PDF
• 2019-05-31 Supervised Online Hashing via Similarity Distribution Learning    Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang arXiv_AI arXiv_AI  Gradient_Descent  Pose  Relation  Attention  PDF
• 2019-05-30 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience    Vaishnavh Nagarajan, J. Zico Kolter arXiv_AI arXiv_AI  Gradient_Descent  Action  PDF
• 2019-05-30 Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels    Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu arXiv_AI arXiv_AI  Gradient_Descent  Classification  PDF
• 2019-05-30 Differentiable Neural Architecture Search via Proximal Iterations    Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu arXiv_CV arXiv_CV  NAS  Gradient_Descent  Optimization  Pose  Relation  Attention  PDF
• 2019-05-30 Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness    Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan arXiv_CV arXiv_CV  Gradient_Descent  Enhancement  Sparse  Regularization  Adversarial  Pose  PDF
• 2019-05-30 P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification    Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu arXiv_CV arXiv_CV  Gradient_Descent  Pose  Quantitative  Classification  CNN  Image_Classification  PDF
• 2019-05-30 Interpretable Adversarial Training for Text    Samuel Barham, Soheil Feizi arXiv_CL arXiv_CL  Embedding  Gradient_Descent  Sparse  Regularization  Review  Adversarial  Pose  PDF
• 2019-05-29 Sever: A Robust Meta-Algorithm for Stochastic Optimization    Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Action  Classification  PDF
• 2019-05-28 Image classification using quantum inference on the D-Wave 2X    Nga T.T. Nguyen, Garrett T. Kenyon arXiv_CV arXiv_CV  Unsupervised  Gradient_Descent  Sparse  Classification  CNN  Image_Classification  Inference  PDF
• 2019-05-28 AmoebaContact and GDFold: a new pipeline for rapid prediction of protein structures    Wenzhi Mao, Wenze Ding, Haipeng Gong arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Prediction  PDF
• 2019-05-27 Differentiable Quantization of Deep Neural Networks    Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso Garcia, Stephen Tiedemann, Thomas Kemp, Akira Nakamura arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Pose  Inference  PDF
• 2019-05-27 On the Convergence Rate of Training Recurrent Neural Networks    Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song arXiv_CV arXiv_CV  Gradient_Descent  RNN  PDF
• 2019-05-26 ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs    Ernest K. Ryu, Kun Yuan, Wotao Yin arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  GAN  PDF
• 2019-05-23 Deep density ratio estimation for change point detection    Haidar Khan, Lara Marcuse, Bülent Yener arXiv_AI arXiv_AI  Gradient_Descent  Pose  Detection  CNN  PDF
• 2019-05-23 A Direct Approach to Robust Deep Learning Using Adversarial Networks    Huaxia Wang, Chun-Nam Yu arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Pose  Classification  Deep_Learning  GAN  Image_Classification  PDF
• 2019-05-09 The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study    Daniel S. Park, Jascha Sohl-Dickstein, Quoc V. Le, Samuel L. Smith arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2019-05-09 A Novel Adaptive Kernel for the RBF Neural Networks    Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  PDF
• 2019-05-08 Learning Cascaded Siamese Networks for High Performance Visual Tracking    Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang arXiv_CV arXiv_CV  Tracking  Gradient_Descent  Pose  Classification  Deep_Learning  CNN  Matching  PDF
• 2019-05-03 A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders    Manuel Pariente (LORIA, MULTISPEECH), Antoine Deleforge (MULTISPEECH), Emmanuel Vincent (MULTISPEECH) arXiv_SD arXiv_SD  Unsupervised  Gradient_Descent  Enhancement  Speech  Pose  Inference  PDF
• 2019-05-02 Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks    Chang-Hwan Son arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Pose  CNN  Prediction  PDF
• 2019-04-29 A neural network based on SPD manifold learning for skeleton-based hand gesture recognition    Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Gesture  Pose  CNN  PDF
• 2019-04-28 Deep Neuroevolution of Recurrent and Discrete World Models    Sebastian Risi, Kenneth O. Stanley arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  PDF
• 2019-04-26 On Exact Computation with an Infinitely Wide Neural Net    Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Deep_Learning  CNN  PDF
• 2019-04-16 REPAIR: Removing Representation Bias by Dataset Resampling    Yi Li, Nuno Vasconcelos arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Optimization  Pose  Action_Recognition  Action  Classification  PDF
• 2019-04-16 SparseMask: Differentiable Connectivity Learning for Dense Image Prediction    Huikai Wu, Junge Zhang, Kaiqi Huang arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Sparse  Prediction  PDF
• 2019-04-16 A Bayesian Perspective on the Deep Image Prior    Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Denoising  CNN  Inference  PDF
• 2019-04-15 Influence of Control Parameters and the Size of Biomedical Image Datasets on the Success of Adversarial Attacks    Vassili Kovalev, Dmitry Voynov arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  Action  Classification  Medical  PDF
• 2019-04-12 Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation    Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Knowledge  Pose  GAN  PDF
• 2019-04-10 Soft Conditional Computation    Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  Detection  Object_Detection  CNN  Inference  PDF
• 2019-04-05 Multi-Preference Actor Critic    Ishan Durugkar, Matthew Hausknecht, Adith Swaminathan, Patrick MacAlpine arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  PDF
• 2019-04-01 Benchmarking Approximate Inference Methods for Neural Structured Prediction    Lifu Tu, Kevin Gimpel arXiv_AI arXiv_AI  Gradient_Descent  Pose  Inference  Prediction  PDF
• 2019-03-28 PAL: A fast DNN optimization method based on curvature information    Maximus Mutschler, Andreas Zell arXiv_CV arXiv_CV  Gradient_Descent  Optimization  PDF
• 2019-03-27 Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks    Francesco Croce, Jonas Rauber, Matthias Hein arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  PDF
• 2019-03-26 Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound    Dongrui Wu, Ye Yuan, Yihua Tan arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Knowledge  Pose  PDF
• 2019-03-24 Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections    Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Bo Jin, Lijun Zhao, Yi Lu Murphey arXiv_CV arXiv_CV  Image_Caption  Gradient_Descent  Optimization  Sparse  Pose  Action  Classification  Deep_Learning  CNN  Image_Classification  PDF
• 2019-03-19 Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware    Sambhav R. Jain, Albert Gural, Michael Wu, Chris Dick arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Pose  Classification  Inference  PDF
• 2019-03-17 Inverse Path Tracing for Joint Material and Lighting Estimation    Dejan Azinović, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  3D  Optimization  Pose  PDF
• 2019-03-16 Multichannel Sparse Blind Deconvolution on the Sphere    Yanjun Li, Yoram Bresler arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Sparse  Pose  PDF
• 2019-03-12 Richness of Deep Echo State Network Dynamics    Claudio Gallicchio, Alessio Micheli arXiv_AI arXiv_AI  Gradient_Descent  RNN  PDF
• 2019-03-12 Placental Flattening via Volumetric Parameterization    S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland arXiv_CV arXiv_CV  Gradient_Descent  Pose  PDF
• 2019-03-12 Theory III: Dynamics and Generalization in Deep Networks    Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso Poggio arXiv_AI arXiv_AI  Gradient_Descent  Review  Classification  PDF
• 2019-03-12 Cascaded Projection: End-to-End Network Compression and Acceleration    Breton Minnehan, Andreas Savakis arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Classification  CNN  PDF
• 2019-03-11 Gradient Descent based Optimization Algorithms for Deep Learning Models Training    Jiawei Zhang arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Pose  Deep_Learning  PDF
• 2019-03-08 Stable Backward Diffusion Models that Minimise Convex Energies    Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk arXiv_CV arXiv_CV  Gradient_Descent  Enhancement  Pose  Image_Enhancement  PDF
• 2019-03-08 Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning    Alex Kearney, Vivek Veeriah, Jaden Travnik, Patrick M. Pilarski, Richard S. Sutton arXiv_AI arXiv_AI  Gradient_Descent  Represenation_Learning  Prediction  PDF
• 2019-03-07 Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval    Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Pose  PDF
• 2019-03-06 Why Learning of Large-Scale Neural Networks Behaves Like Convex Optimization    Hui Jiang arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2019-03-04 Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction    Dufan Wu, Kyungsang Kim, Quanzheng Li arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Sparse  Pose  Medical  CNN  PDF
• 2019-03-02 Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning    Ziming Zhang, Wenju Xu, Alan Sullivan arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Regularization  Pose  Deep_Learning  PDF
• 2019-02-28 Non-Parametric Adaptation for Neural Machine Translation    Ankur Bapna, Orhan Firat arXiv_CL arXiv_CL  Gradient_Descent  Pose  NMT  Inference  PDF
• 2019-02-28 End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization    Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song arXiv_CV arXiv_CV  Embedding  Quantization  Gradient_Descent  Optimization  Sparse  Represenation_Learning  Inference  PDF
• 2019-02-27 Meta-learning with differentiable closed-form solvers    Luca Bertinetto, João F. Henriques, Philip H.S. Torr, Andrea Vedaldi arXiv_CV arXiv_CV  Gradient_Descent  Pose  Few-Shot  PDF
• 2019-02-26 GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees    Ankit Raj, Yuqi Li, Yoram Bresler arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Adversarial  Pose  GAN  PDF
• 2019-02-26 Event-driven Video Frame Synthesis    Zihao Wang, Weixin Jiang, Aggelos Katsaggelos, Oliver Cossairt arXiv_CV arXiv_CV  Reconstruction  Gradient_Descent  Optimization  Denoising  PDF
• 2019-02-24 Training GANs with Centripetal Acceleration    Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng arXiv_CV arXiv_CV  Gradient_Descent  Adversarial  GAN  PDF
• 2019-02-20 LOSSGRAD: automatic learning rate in gradient descent    Bartosz Wójcik, Łukasz Maziarka, Jacek Tabor arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2019-02-15 ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning    Andrew Silva, Matthew Gombolay arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Knowledge  Action  PDF
• 2019-02-14 Optimizing Controller Placement for Software-Defined Networks    Victoria Huang (1), Gang Chen (1), Qiang Fu (1), Elliott Wen (2) ((1) Victoria University of Wellington, (2) The University of Auckland) arXiv_AI arXiv_AI  Gradient_Descent  Optimization  PDF
• 2019-02-08 Architecture Compression    Anubhav Ashok arXiv_CV arXiv_CV  Embedding  Gradient_Descent  Recognition  Pose  PDF
• 2019-02-07 Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis    Adrien Lagrange, Mathieu Fauvel, Stéphane May, José Bioucas-Dias, Nicolas Dobigeon arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Represenation_Learning  Pose  Classification  PDF
• 2019-02-07 A Simple Baseline for Bayesian Uncertainty in Deep Learning    Wesley Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson arXiv_AI arXiv_AI  Transfer_Learning  Gradient_Descent  Pose  Deep_Learning  Detection  PDF
• 2019-02-03 Large batch size training of neural networks with adversarial training and second-order information    Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney arXiv_AI arXiv_AI  Gradient_Descent  Adversarial  Pose  PDF
• 2019-02-03 Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions    Yunwen Lei, Ting Hu, Ke Tang arXiv_AI arXiv_AI  Gradient_Descent  Pose  PDF
• 2019-02-02 A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories    Nitin R. Kapania, John Subosits, J Christian Gerdes arXiv_RO arXiv_RO  Gradient_Descent  Optimization  Pose  Autonomous  PDF
• 2019-02-01 A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids    Qiuyu Zhu, Ruixin Zhang arXiv_CV arXiv_CV  Gradient_Descent  Pose  Classification  PDF
• 2019-02-01 Compressing GANs using Knowledge Distillation    Angeline Aguinaldo, Ping-Yeh Chiang, Alex Gain, Ameya Patil, Kolten Pearson, Soheil Feizi arXiv_CV arXiv_CV  Gradient_Descent  Super_Resolution  Optimization  Knowledge  Adversarial  Pose  GAN  PDF
• 2019-01-31 Adding Interpretable Attention to Neural Translation Models Improves Word Alignment    Thomas Zenkel, Joern Wuebker, John DeNero arXiv_CL arXiv_CL  Transformer  Gradient_Descent  Pose  Attention  Inference  PDF
• 2019-01-29 Adversarial Label Learning    Chidubem Arachie, Bert Huang arXiv_AI arXiv_AI  Gradient_Descent  Weakly_Supervised  Adversarial  Pose  PDF
• 2019-01-27 Deconstructing Generative Adversarial Networks    Banghua Zhu, Jiantao Jiao, David Tse arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Adversarial  Pose  GAN  PDF
• 2019-01-22 What Can Machine Learning Teach Us about Communications?    Mengke Lian, Christian Häger, Henry D. Pfister arXiv_AI arXiv_AI  Gradient_Descent  Deep_Learning  PDF
• 2019-01-22 Efficient Image Splicing Localization via Contrastive Feature Extraction    Ronald Salloum, C.-C. Jay Kuo arXiv_CV arXiv_CV  Gradient_Descent  Pose  Action  CNN  PDF
• 2019-01-21 A Fourier Disparity Layer representation for Light Fields    Mikael Le Pendu, Christine Guillemot, Aljosa Smolic arXiv_CV arXiv_CV  Gradient_Descent  Pose  Denoising  PDF
• 2019-01-17 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization    Navid Azizan, Babak Hassibi arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Regularization  Deep_Learning  PDF
• 2019-01-12 Enhancing Explainability of Neural Networks through Architecture Constraints    Zebin Yang, Aijun Zhang, Agus Sudjianto arXiv_CV arXiv_CV  Gradient_Descent  Sparse  Pose  Prediction  PDF
• 2019-01-11 ADef: an Iterative Algorithm to Construct Adversarial Deformations    Rima Alaifari, Giovanni S. Alberti, Tandri Gauksson arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Adversarial  Pose  Classification  CNN  PDF
• 2019-01-07 Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion    Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Regularization  Pose  Attention  PDF
• 2019-01-07 Generalization in Deep Networks: The Role of Distance from Initialization    Vaishnavh Nagarajan, J. Zico Kolter arXiv_AI arXiv_AI  Gradient_Descent  Regularization  PDF
• 2018-12-31 Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization    Matthias Nickles arXiv_AI arXiv_AI  Gradient_Descent  Enhancement  Optimization  Pose  Inference  PDF
• 2018-12-21 Sample Efficient Adaptive Text-to-Speech    Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas arXiv_SD arXiv_SD  Embedding  Gradient_Descent  Speech  PDF
• 2018-12-20 Blind Image Deconvolution using Deep Generative Priors    Muhammad Asim, Fahad Shamshad, Ali Ahmed arXiv_CV arXiv_CV  Gradient_Descent  Knowledge  Pose  Face  CNN  PDF
• 2018-12-20 Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering    Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud arXiv_SD arXiv_SD  Gradient_Descent  Enhancement  Recognition  Speech  Pose  Relation  Speech_Recognition  PDF
• 2018-12-18 Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL    Anusha Nagabandi, Chelsea Finn, Sergey Levine arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Face  PDF
• 2018-12-18 A Factorial Mixture Prior for Compositional Deep Generative Models    Ulrich Paquet, Sumedh K. Ghaisas, Olivier Tieleman arXiv_AI arXiv_AI  Unsupervised  Gradient_Descent  Pose  Relation  Inference  PDF
• 2018-12-17 Voiceprint recognition of Parkinson patients based on deep learning    Zhijing Xu, Juan Wang, Ying Zhang, Xiangjian He arXiv_SD arXiv_SD  Gradient_Descent  Recognition  Speech  Pose  Classification  Deep_Learning  PDF
• 2018-12-13 Deep Appearance Maps    Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz arXiv_CV arXiv_CV  Segmentation  Gradient_Descent  Optimization  Pose  Face  Deep_Learning  Relation  PDF
• 2018-12-13 Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes    Yunyi Li, Tong Wang arXiv_AI arXiv_AI  Gradient_Descent  PDF
• 2018-12-12 Gradient Descent Happens in a Tiny Subspace    Guy Gur-Ari, Daniel A. Roberts, Ethan Dyer arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Classification  Deep_Learning  PDF
• 2018-12-12 An efficient supervised dictionary learning method for audio signal recognition    Imad Rida, Romain Hérault, Gilles Gasso arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Optimization  Represenation_Learning  Pose  Classification  PDF
• 2018-12-11 Proximal Mean-field for Neural Network Quantization    Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Optimization  Action  Classification  CNN  Image_Classification  PDF
• 2018-12-06 Trained Rank Pruning for Efficient Deep Neural Networks    Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong arXiv_CV arXiv_CV  Quantization  Gradient_Descent  Regularization  Pose  Prediction  PDF
• 2018-12-03 Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions    Masanori Suganuma, Xing Liu, Takayuki Okatani arXiv_CV arXiv_CV  Surveillance  Gradient_Descent  Restoration  Pose  Attention  Autonomous  PDF
• 2018-12-02 Anchor Box Optimization for Object Detection    Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Detection  Object_Detection  Inference  PDF
• 2018-11-30 High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format    Longhao Yuan, Qibin Zhao, Lihua Gui, Jianting Cao arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Attention  PDF
• 2018-11-29 On Implicit Filter Level Sparsity in Convolutional Neural Networks    Dushyant Mehta, Kwang In Kim, Christian Theobalt arXiv_CV arXiv_CV  Gradient_Descent  Regularization  CNN  PDF
• 2018-11-29 Iterative Residual CNNs for Burst Photography Applications    Filippos Kokkinos, Stamatios Lefkimmiatis arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  Deep_Learning  Denoising  CNN  PDF
• 2018-11-29 Deep learning for pedestrians: backpropagation in CNNs    Laurent Boué arXiv_AI arXiv_AI  Gradient_Descent  Deep_Learning  CNN  PDF
• 2018-11-28 Experience Replay for Continual Learning    David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Greg Wayne arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Knowledge  Pose  Matching  PDF
• 2018-11-25 On-chip learning for domain wall synapse based Fully Connected Neural Network    Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik arXiv_AI arXiv_AI  Gradient_Descent  Classification  PDF
• 2018-11-21 Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks    Difan Zou, Yuan Cao, Dongruo Zhou, Quanquan Gu arXiv_AI arXiv_AI  Gradient_Descent  Optimization  Classification  Deep_Learning  PDF
• 2018-11-21 Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks    Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper H Pedersen, Jens Petersen, Marleen de Bruijne arXiv_CV arXiv_CV  Embedding  Gradient_Descent  3D  Action  Inference  PDF
• 2018-11-20 Gradient-Coherent Strong Regularization for Deep Neural Networks    Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang arXiv_CV arXiv_CV  Gradient_Descent  Recognition  Regularization  Pose  PDF
• 2018-11-19 Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures    Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing arXiv_CV arXiv_CV  Gradient_Descent  Optimization  Pose  GAN  PDF
• 2018-11-15 Orthogonal Policy Gradient and Autonomous Driving Application    Mincong Luo, Yin Tong, Jiachi Liu arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  3D  Pose  Action  Autonomous  PDF
• 2018-11-14 A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition    Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus, Sergio Escalera, Gholamreza Anbarjafari arXiv_CL arXiv_CL  Gradient_Descent  Recognition  Speech  Pose  Emotion  Classification  PDF
• 2018-11-13 Interactive dimensionality reduction using similarity projections    Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas arXiv_CV arXiv_CV  Embedding  Transfer_Learning  Gradient_Descent  3D  Optimization  Pose  Face  Action  Classification  PDF
• 2018-11-12 Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification    Bo Yang Hsueh, Wei Li, I-Chen Wu arXiv_CV arXiv_CV  Gradient_Descent  RNN  Pose  Classification  PDF
• 2018-11-09 Gradient Descent Finds Global Minima of Deep Neural Networks    Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai arXiv_AI arXiv_AI  Gradient_Descent  CNN  PDF
• 2018-11-08 Federated Learning for Mobile Keyboard Prediction    Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage arXiv_CL arXiv_CL  Gradient_Descent  Pose  Language_Model  Prediction  PDF
• 2018-11-06 Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games    Jacob Rafati, Roummel F. Marcia arXiv_AI arXiv_AI  Gradient_Descent  Reinforcement_Learning  Optimization  Action  PDF
• 2018-11-06 Online Off-policy Prediction    Sina Ghiassian, Andrew Patterson, Martha White, Richard S. Sutton, Adam White arXiv_AI arXiv_AI  Gradient_Descent  Knowledge  Action  Prediction  PDF
• 2018-11-05 PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks    P. Guo, X. L. Zhou, K. Wang arXiv_AI arXiv_AI  Gradient_Descent  Pose  Classification  Autonomous