Gradient_Descent

2022-11-30 Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction Guanxiong Luo, Mengmeng Kuang, Peng Cao arXiv_CV arXiv_CV Reconstruction Gradient_Descent Regularization Pose Deep_Learning PDF
2022-11-28 What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou arXiv_CL arXiv_CL Transformer Gradient_Descent PDF
2022-11-24 Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Phung, Trung Le arXiv_AI arXiv_AI Gradient_Descent Recognition Regularization Knowledge Speech Pose Speech_Recognition PDF
2022-11-21 DrapeNet: Generating Garments and Draping them with Self-Supervision Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua arXiv_CV arXiv_CV Gradient_Descent 3D PDF
2022-11-19 Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen arXiv_CV arXiv_CV Reconstruction Gradient_Descent Super_Resolution Pose Quantitative PDF
2022-11-17 Data Dimension Reduction makes ML Algorithms efficient Wisal Khan, Muhammad Turab, Waqas Ahmad, Syed Hasnat Ahmad, Kelash Kumar, Bin Luo arXiv_CV arXiv_CV Unsupervised Gradient_Descent Represenation_Learning Pose Classification PDF
2022-11-15 Selective Memory Recursive Least Squares: Uniformly Allocated Approximation Capabilities of RBF Neural Networks in Real-Time Learning Yiming Fei, Jiangang Li, Yanan Li arXiv_CV arXiv_CV Gradient_Descent Knowledge Pose PDF
2022-11-14 Efficient Adversarial Training with Robust Early-Bird Tickets Zhiheng Xi1, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang arXiv_CL arXiv_CL Gradient_Descent Optimization Adversarial Pose Language_Model PDF
2022-11-14 SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing Jie Fu, Zhili Chen, XinPeng Ling arXiv_AI arXiv_AI Gradient_Descent Recognition Pose Classification Image_Classification PDF
2022-11-11 Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu arXiv_CL arXiv_CL Unsupervised Gradient_Descent Recognition Reinforcement_Learning Optimization Regularization Knowledge Action Relation Few-Shot Relation_Extraction PDF
2022-11-07 Optimizing Wi-Fi Channel Selection in a Dense Neighborhood Yonatan Vaizman, Hongcheng Wang arXiv_AI arXiv_AI Gradient_Descent Optimization PDF
2022-11-07 Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos Adrien Courtois, Jean-Michel Morel, Pablo Arias arXiv_CV arXiv_CV Gradient_Descent Prediction PDF
2022-11-02 Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Pose Detection Object_Detection PDF
2022-11-02 POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks Randall Balestriero, Yann LeCun arXiv_CV arXiv_CV Gradient_Descent Optimization Knowledge Pose PDF
2022-10-26 Sinusoidal Frequency Estimation by Gradient Descent Ben Hayes, Charalampos Saitis, György Fazekas arXiv_SD arXiv_SD Gradient_Descent PDF
2022-10-22 SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian arXiv_AI arXiv_AI Embedding Gradient_Descent Optimization Pose PDF
2022-10-21 A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada arXiv_CV arXiv_CV Gradient_Descent Optimization Pose PDF
2022-10-19 Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language Istiak Ahmad, Fahad AlQurashi, Rashid Mehmood arXiv_AI arXiv_AI Embedding Gradient_Descent Recognition Text_Classification RNN Classification Deep_Learning Sentiment CNN Language_Model PDF
2022-10-19 Differentiable Self-Adaptive Learning Rate Bozhou Chen, Hongzhi Wang, Chenmin Ba arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-10-18 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization Seungyong Moon, Gaon An, Hyun Oh Song arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose PDF
2022-10-17 Provable Phase Retrieval with Mirror Descent Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra arXiv_CV arXiv_CV Reconstruction Gradient_Descent Pose Action PDF
2022-10-16 Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun arXiv_CV arXiv_CV Transformer Gradient_Descent Optimization Video_Retrieval PDF
2022-10-14 Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang arXiv_CL arXiv_CL Transformer Gradient_Descent Few-Shot Language_Model PDF
2022-10-14 A Scalable Finite Difference Method for Deep Reinforcement Learning Matthew Allen, John Raisbeck, Hakho Lee arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization PDF
2022-10-13 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Satyen Kale, Jason D. Lee, Chris De Sa, Ayush Sekhari, Karthik Sridharan arXiv_AI arXiv_AI Gradient_Descent PDF
2022-10-12 AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri arXiv_CV arXiv_CV Gradient_Descent Recognition Pose CNN PDF
2022-10-11 A Kernel-Based View of Language Model Fine-Tuning Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora arXiv_CL arXiv_CL Gradient_Descent Language_Model PDF
2022-10-11 Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao arXiv_AI arXiv_AI Gradient_Descent Sparse Pose PDF
2022-10-10 Fast Hierarchical Learning for Few-Shot Object Detection Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu arXiv_RO arXiv_RO Transfer_Learning Gradient_Descent Optimization Pose Detection Few-Shot Object_Detection PDF
2022-10-10 Second-order regression models exhibit progressive sharpening to the edge of stability Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington arXiv_AI arXiv_AI Gradient_Descent PDF
2022-10-07 ANFIS-based prediction of power generation for combined cycle power plant Mary Pa, Amin Kazemi arXiv_AI arXiv_AI Gradient_Descent Pose Inference Prediction PDF
2022-10-05 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models Fan Liu, Hao Liu, Wenzhao Jiang arXiv_AI arXiv_AI Gradient_Descent Salient Adversarial Pose Relation Prediction PDF
2022-10-02 Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut Stefan Boettcher (Emory University) arXiv_AI arXiv_AI Gradient_Descent Optimization PDF
2022-10-02 Optimization for Robustness Evaluation beyond $ell_p$ Metrics Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose Deep_Learning PDF
2022-10-02 SAGDA: Achieving $mathcal{O}$ Communication Complexity in Federated Min-Max Learning Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-09-30 Learning by Distilling Context Charlie Snell, Dan Klein, Ruiqi Zhong arXiv_AI arXiv_AI Gradient_Descent Pose Language_Model PDF
2022-09-29 DreamFusion: Text-to-3D using 2D Diffusion Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall arXiv_CV arXiv_CV Gradient_Descent 3D Optimization Denoising PDF
2022-09-29 A Secure Federated Learning Framework for Residential Short Term Load Forecasting Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss arXiv_AI arXiv_AI Quantization Gradient_Descent Pose Face PDF
2022-09-27 Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug, Reinhard Heckel arXiv_AI arXiv_AI Reconstruction Gradient_Descent Super_Resolution Pose Deep_Learning Denoising PDF
2022-09-27 Searching a High-Performance Feature Extractor for Text Recognition Network Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai arXiv_AI arXiv_AI NAS Gradient_Descent Recognition 3D Pose PDF
2022-09-26 Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza arXiv_AI arXiv_AI Tracking Gradient_Descent Reinforcement_Learning Optimization Pose Drone PDF
2022-09-26 FORESEE: Model-based Reinforcement Learning using Unscented Transform with application to Tuning of Control Barrier Functions Hardik Parwana, Dimitra Panagou arXiv_RO arXiv_RO Gradient_Descent Reinforcement_Learning Pose Action Prediction Matching PDF
2022-09-25 Stochastic Gradient Descent Captures How Children Learn About Physics Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2022-09-23 Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis Sharu Theresa Jose, Osvaldo Simeone arXiv_CV arXiv_CV Gradient_Descent Optimization VQA QA PDF
2022-09-22 Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing Alexandre Zouaoui (1), Gedeon Muhawenayo (1), Behnood Rasti (2), Jocelyn Chanussot (1), Julien Mairal (1) ((1) Thoth, Inria, UGA, CNRS, Grenoble INP, LJK, (2) HZDR) arXiv_CV arXiv_CV Gradient_Descent Pose Deep_Learning PDF
2022-09-15 Differentiable Bilevel Programming for Stackelberg Congestion Games Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-09-15 Generalization Properties of NAS under Activation and Skip Connection Search Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher arXiv_AI arXiv_AI NAS Gradient_Descent Recognition Attention PDF
2022-09-13 A Gaussian variational inference approach to motion planning Hongzhe Yu, Yongxin Chen arXiv_RO arXiv_RO Gradient_Descent Optimization Regularization Pose Inference PDF
2022-09-12 Personalized Federated Learning with Communication Compression El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-09-11 Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth, Jonathan Hayase, Siddhartha Srinivasa arXiv_AI arXiv_AI Gradient_Descent Optimization Knowledge Deep_Learning PDF
2022-09-08 SE-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters arXiv_RO arXiv_RO Gradient_Descent Optimization Pose PDF
2022-09-07 On the utility and protection of optimization with differential privacy and classic regularization techniques Eugenio Lomurno, Matteo matteucci arXiv_AI arXiv_AI Gradient_Descent Optimization Regularization Deep_Learning Inference PDF
2022-09-06 Deep filter bank regression for super-resolution of anisotropic MR brain images Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince arXiv_CV arXiv_CV Reconstruction Gradient_Descent Super_Resolution Pose PDF
2022-09-03 Neural Networks for Chess Dominik Klein arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Classification CNN PDF
2022-09-02 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu arXiv_AI arXiv_AI Gradient_Descent Pose Recommendation PDF
2022-08-31 Accelerating Deep Unrolling Networks via Dimensionality Reduction Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb arXiv_CV arXiv_CV Reconstruction Gradient_Descent Optimization Sketch Pose PDF
2022-08-25 Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes arXiv_AI arXiv_AI Gradient_Descent Medical PDF
2022-08-22 One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe arXiv_AI arXiv_AI Unsupervised Gradient_Descent Optimization Pose Action Relation PDF
2022-08-17 Learning with Local Gradients at the Edge Michael Lomnitz, Zachary Daniels, David Zhang, Michael Piacentino arXiv_AI arXiv_AI Gradient_Descent Optimization RNN CNN PDF
2022-08-13 Differentiable Inductive Logic Programming in High-Dimensional Space Stanisław J. Purgał, David M. Cerna, Cezary Kaliszyk arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-08-10 Differentiable Inference of Temporal Logic Formulas Nicole Fronda, Houssam Abbas arXiv_AI arXiv_AI Gradient_Descent Optimization Knowledge Pose Classification Inference PDF
2022-08-08 Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai arXiv_CV arXiv_CV Gradient_Descent Represenation_Learning RNN Pose CNN Inference PDF
2022-08-08 Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi, David Rohde, Alexandre Gilotte arXiv_AI arXiv_AI Gradient_Descent Optimization Recommendation PDF
2022-08-06 On the Fundamental Limits of Formally Proving Robustness in Proof-of-Learning Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot arXiv_AI arXiv_AI Gradient_Descent Knowledge Pose Deep_Learning PDF
2022-08-05 A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices Nitesh Banskota, Abeer Alsadoon, P.W.C. Prasad, Ahmed Dawoud, Tarik A. Rashid, Omar Hisham Alsadoon arXiv_CV arXiv_CV Gradient_Descent Recognition Pose Emotion Face Deep_Learning CNN PDF
2022-08-04 Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen, Xiaolong Wang arXiv_CV arXiv_CV Transformer Reconstruction Gradient_Descent 3D Optimization Sparse Pose PDF
2022-08-04 Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer arXiv_AI arXiv_AI Gradient_Descent Represenation_Learning Regularization Pose PDF
2022-08-04 A New Kind of Adversarial Example Ali Borji arXiv_AI arXiv_AI Gradient_Descent Adversarial Pose PDF
2022-08-03 Multiclass ASMA vs Targeted PGD Attack in Image Segmentation Johnson Vo (1), Jiabao Xie (1), Sahil Patel (1) ((1) University of Toronto) arXiv_CV arXiv_CV Segmentation Gradient_Descent Recognition Adversarial Speech Classification Deep_Learning Speech_Recognition Image_Classification PDF
2022-08-01 Dynamic Batch Adaptation Cristian Simionescu, George Stoica, Robert Herscovici arXiv_AI arXiv_AI Gradient_Descent Deep_Learning Relation PDF
2022-08-01 A Particle-Based Algorithm for Distributional Optimization on textit{Constrained Domains} via Variational Transport and Mirror Descent Dai Hai Nguyen, Tetsuya Sakurai arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2022-07-27 Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Pose Face Denoising PDF
2022-07-25 On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake Alessandro Achille, Stefano Soatto arXiv_AI arXiv_AI Gradient_Descent Action PDF
2022-07-21 Approximate Differentiable Rendering with Algebraic Surfaces Leonid Keselman, Martial Hebert arXiv_CV arXiv_CV Reconstruction Segmentation Gradient_Descent 3D Pose_Estimation Regularization Pose Face PDF
2022-07-21 Learning from Data with Noisy Labels Using Temporal Self-Ensemble Jun Ho Lee, Jae Soon Baik, Tae Hwan Hwang, Jun Won Choi arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Prediction PDF
2022-07-20 Pretraining a Neural Network before Knowing Its Architecture Boris Knyazev arXiv_AI arXiv_AI Gradient_Descent PDF
2022-07-20 REFACTOR GNNS: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel arXiv_AI arXiv_AI Gradient_Descent Knowledge Knowledge_Graph PDF
2022-07-20 A note on the variation of geometric functionals Nir Sochen arXiv_CV arXiv_CV Gradient_Descent Optimization Contour PDF
2022-07-19 The Dice loss in the context of missing or empty labels: Introducing $Phi$ and $epsilon$ Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes arXiv_AI arXiv_AI Segmentation Gradient_Descent Optimization Pose Action Medical PDF
2022-07-19 Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks Sumanth Sadu, Shiv Ram Dubey, SR Sreeja arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Classification CNN Image_Classification PDF
2022-07-18 Deep Manifold Learning with Graph Mining Xuelong Li, Ziheng Jiao, Hongyuan Zhang, Rui Zhang arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2022-07-13 AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Inference PDF
2022-07-12 A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization Songtao Lu arXiv_AI arXiv_AI Gradient_Descent Optimization Knowledge Pose Classification PDF
2022-07-11 UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh arXiv_CL arXiv_CL Gradient_Descent Pose Classification Detection PDF
2022-07-11 On NeuroSymbolic Solutions for PDEs Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig arXiv_AI arXiv_AI Gradient_Descent PDF
2022-07-10 Scaling the Number of Tasks in Continual Learning Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish arXiv_AI arXiv_AI Gradient_Descent Knowledge Pose PDF
2022-07-07 FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato arXiv_CV arXiv_CV Gradient_Descent PDF
2022-07-05 ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning Jae Soon Baik, In Young Yoon, Jun Won Choi arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Classification Deep_Learning Image_Classification PDF
2022-07-04 Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub arXiv_AI arXiv_AI Gradient_Descent Review Pose PDF
2022-06-29 Momentum Diminishes the Effect of Spectral Bias in Physics-Informed Neural Networks Ghazal Farhani, Alexander Kazachek, Boyu Wang arXiv_AI arXiv_AI Gradient_Descent PDF
2022-06-28 Rethinking Adversarial Examples for Location Privacy Protection Trung-Nghia Le, Ta Gu, Huy H. Nguyen, Isao Echizen arXiv_CV arXiv_CV Gradient_Descent Recognition Adversarial Attention PDF
2022-06-28 Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Deep_Learning Attention Prediction Recommendation PDF
2022-06-22 FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari, Michaël Perrot arXiv_AI arXiv_AI Gradient_Descent Pose Classification PDF
2022-06-20 Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu arXiv_CV arXiv_CV NAS Gradient_Descent Pose Relation PDF
2022-06-20 Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space Tomoharu Iwata, Atsutoshi Kumagai arXiv_AI arXiv_AI Gradient_Descent Pose Detection PDF
2022-06-19 Laziness, Barren Plateau, and Noise in Machine Learning Junyu Liu, Zexi Lin, Liang Jiang arXiv_AI arXiv_AI Gradient_Descent Optimization PDF
2022-06-17 Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Optimization Adversarial Pose GAN Inference PDF
2022-06-17 Debugging using Orthogonal Gradient Descent Narsimha Chilkuri, Chris Eliasmith arXiv_AI arXiv_AI Gradient_Descent PDF
2022-06-15 Disparate Impact in Differential Privacy from Gradient Misalignment Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo, Jesse C. Cresswell arXiv_AI arXiv_AI Gradient_Descent PDF
2022-06-15 Continuous-variable quantum approximate optimization on a programmable photonic quantum processor Yutaro Enomoto, Keitaro Anai, Kenta Udagawa, Shuntaro Takeda arXiv_CV arXiv_CV Gradient_Descent Optimization Knowledge VQA QA PDF
2022-06-14 MBGDT:Robust Mini-Batch Gradient Descent Hanming Wang, Haozheng Luo, Yue Wang arXiv_AI arXiv_AI Gradient_Descent PDF
2022-06-14 Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems Yunwen Lei arXiv_AI arXiv_AI Gradient_Descent Optimization Regularization Knowledge Quantitative PDF
2022-06-14 Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training B. R. Manoj, Meysam Sadeghi, Erik G. Larsson arXiv_AI arXiv_AI Gradient_Descent Adversarial Classification Deep_Learning PDF
2022-06-13 Spiking Neural Networks for Frame-based and Event-based Single Object Localization Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djéraba, Mohammed Bennamoun arXiv_CV arXiv_CV Gradient_Descent Pose Classification Activity PDF
2022-06-13 What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Self-Supervised Action Autonomous Prediction PDF
2022-06-13 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim arXiv_AI arXiv_AI Gradient_Descent Pose Inference PDF
2022-06-13 Constraint Guided Gradient Descent: Guided Training with Inequality Constraints Quinten Van Baelen Peter Karsmakers arXiv_AI arXiv_AI Gradient_Descent Knowledge Pose Deep_Learning PDF
2022-06-13 EGRU: Event-based GRU for activity-sparse inference and learning Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel arXiv_AI arXiv_AI Gradient_Descent Sparse RNN Pose Action Activity Inference Language_Model PDF
2022-06-13 From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang, Kevin Ellis arXiv_AI arXiv_AI Gradient_Descent Action Inference PDF
2022-06-12 Analysis of Branch Specialization and its Application in Image Decomposition Jonathan Brokman, Guy Gilboa arXiv_CV arXiv_CV Gradient_Descent Pose Face PDF
2022-06-11 Parameter Convex Neural Networks Jingcheng Zhou, Wei Wei, Xing Li, Bowen Pang, Zhiming Zheng arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Deep_Learning Attention CNN Recommendation PDF
2022-06-10 Large-Scale Retrieval for Reinforcement Learning Peter C. Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Théophane Weber, Timothy Lillicrap arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Prediction Matching PDF
2022-06-10 Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael Isnardi, David Zhang, Michael Piacentino arXiv_CV arXiv_CV Quantization Gradient_Descent Classification Few-Shot Activity PDF
2022-06-10 Refining neural network predictions using background knowledge Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen arXiv_AI arXiv_AI Gradient_Descent Knowledge Prediction PDF
2022-06-09 ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar arXiv_CV arXiv_CV Gradient_Descent Recognition Optimization Adversarial Pose Face Face_Recognition PDF
2022-06-09 Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion Chengli Tan, Jiangshe Zhang, Junmin Liu arXiv_AI arXiv_AI Gradient_Descent Optimization Action PDF
2022-06-06 Stable and memory-efficient image recovery using monotone operator learning Aniket Pramanik, Mathews Jacob arXiv_AI arXiv_AI Gradient_Descent 3D Pose Compressive_Sensing CNN PDF
2022-06-06 Balancing Profit, Risk, and Sustainability for Portfolio Management Charl Maree, Christian W. Omlin arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization Pose Action PDF
2022-06-06 Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Başar, Mihailo R. Jovanović arXiv_AI arXiv_AI Gradient_Descent Pose Action PDF
2022-06-04 Stochastic Multiple Target Sampling Gradient Descent Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Inference PDF
2022-06-02 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen arXiv_CV arXiv_CV NAS Segmentation Gradient_Descent Optimization Pose Classification Inference PDF
2022-06-02 Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose PDF
2022-06-02 Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie arXiv_AI arXiv_AI Gradient_Descent RNN Knowledge Deep_Learning PDF
2022-06-01 Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime Daniel Goldfarb, Paul Hand arXiv_AI arXiv_AI Gradient_Descent Regularization Classification Image_Classification PDF
2022-05-31 HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks M. Przewięźlikowski, P. Przybysz, J. Tabor, M. Zięba, P. Spurek arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Few-Shot GAN PDF
2022-05-31 Communication-Efficient Distributionally Robust Decentralized Learning Matteo Zecchin, Marios Kountouris, David Gesbert arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2022-05-26 DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning Elham Soltanikazemi, Raj S. Roy, Farhan Quadir, Nabin Giri, Alex Morehead, Jianlin Cheng arXiv_AI arXiv_AI Reconstruction Gradient_Descent Reinforcement_Learning Optimization Face Prediction PDF
2022-05-26 Avoiding Barren Plateaus with Classical Deep Neural Networks Lucas Friedrich, Jonas Maziero arXiv_AI arXiv_AI Gradient_Descent Optimization VQA QA PDF
2022-05-26 Active Labeling: Streaming Stochastic Gradients Vivien Cabannes, Francis Bach, Vianney Perchet, Alessandro Rudi arXiv_AI arXiv_AI Gradient_Descent PDF
2022-05-25 An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation Shuyu Yin, Tao Luo, Peilin Liu, Zhi-Qin John Xu arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning PDF
2022-05-25 Refining Query Representations for Dense Retrieval at Test Time Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee arXiv_CL arXiv_CL Gradient_Descent Pose Contrastive_Learning QA PDF
2022-05-25 The SO and SE Lie Algebras of Rigid Body Rotations and Motions and their Application to Discrete Integration, Gradient Descent Optimization, and State Estimation Eduardo Gallo arXiv_RO arXiv_RO Gradient_Descent Optimization Review PDF
2022-05-24 Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations Ali Hummos arXiv_AI arXiv_AI Embedding Gradient_Descent Optimization Knowledge Pose GAN Inference PDF
2022-05-23 Graph-theoretical approach to robust 3D normal extraction of LiDAR data Arpan Kusari, Wenbo Sun arXiv_CV arXiv_CV Gradient_Descent Enhancement Point_Cloud 3D Optimization Pose Action PDF
2022-05-23 BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu arXiv_AI arXiv_AI Embedding Gradient_Descent Optimization Pose Classification Few-Shot Language_Model PDF
2022-05-20 PSO-Convolutional Neural Networks with Heterogeneous Learning Rate Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro arXiv_CV arXiv_CV Gradient_Descent Recognition Optimization Speech Pose Action_Recognition Action Detection Object_Detection CNN PDF
2022-05-20 Adversarial joint attacks on legged robots Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Adversarial PDF
2022-05-18 Deep Features for CBIR with Scarce Data using Hebbian Learning Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato arXiv_CV arXiv_CV Transformer Unsupervised Gradient_Descent Image_Retrieval Action PDF
2022-05-18 Federated Learning: Applications, Challenges and Future Scopes Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder, V. B. Surya Prasath arXiv_AI arXiv_AI Transfer_Learning Gradient_Descent Review Pose Deep_Learning Medical Recommendation PDF
2022-05-18 K-textures, a self supervised hard clustering deep learning algorithm for satellite images segmentation Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez, Mayumi C.M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, Sassan Saatchi arXiv_CV arXiv_CV Segmentation Gradient_Descent Deep_Learning CNN PDF
2022-05-17 Adaptive Momentum-Based Policy Gradient with Second-Order Information Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Pose PDF
2022-05-16 Manifold Characteristics That Predict Downstream Task Performance Ruan van der Merwe, Gregory Newman, Etienne Barnard arXiv_CV arXiv_CV Tracking Transfer_Learning Gradient_Descent Adversarial Self-Supervised Pose PDF
2022-05-15 Meta Self-Refinement for Robust Learning with Weak Supervision Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow arXiv_CL arXiv_CL Gradient_Descent Pose PDF
2022-05-14 Realistic Defocus Blur for Multiplane Computer-Generated Holography Koray Kavaklı, Yuta Itoh, Hakan Urey, Kaan Akşit arXiv_CV arXiv_CV Gradient_Descent Optimization Sparse PDF
2022-05-13 Meta Balanced Network for Fair Face Recognition Mei Wang, Yaobin Zhang, Weihong Deng arXiv_CV arXiv_CV Gradient_Descent Recognition Pose Face Classification Face_Recognition PDF
2022-05-13 Uninorm-like parametric activation functions for human-understandable neural models Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár arXiv_AI arXiv_AI Gradient_Descent Classification Deep_Learning Relation PDF
2022-05-12 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu, Dong Eui Chang arXiv_AI arXiv_AI Gradient_Descent Optimization Knowledge Pose Classification Image_Classification PDF
2022-05-06 Large Scale Transfer Learning for Differentially Private Image Classification Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky arXiv_CV arXiv_CV Transformer Transfer_Learning Gradient_Descent Adversarial Classification Deep_Learning Image_Classification PDF
2022-05-05 LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks Zeyi Tao, Jindi Wu, Qi Xia, Qun Li arXiv_CV arXiv_CV Gradient_Descent Optimization Review Pose Classification VQA Attention QA PDF
2022-05-02 Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li arXiv_AI arXiv_AI Gradient_Descent Sparse Knowledge Knowledge_Graph Pose Contrastive_Learning Action Relation Recommendation PDF
2022-04-29 Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent Rita Fermanian, Mikael Le Pendu, Christine Guillemot arXiv_CV arXiv_CV Gradient_Descent Restoration Optimization Regularization Knowledge Denoising PDF
2022-04-28 Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle arXiv_CV arXiv_CV Gradient_Descent Classification Image_Classification PDF
2022-04-28 Learning First-Order Rules with Differentiable Logic Program Semantics Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang arXiv_AI arXiv_AI Gradient_Descent Knowledge Relation PDF
2022-04-28 Deep Generalized Unfolding Networks for Image Restoration Chong Mou, Qian Wang, Jian Zhang arXiv_CV arXiv_CV Gradient_Descent Restoration Optimization Pose PDF
2022-04-27 Adaptable Text Matching via Meta-Weight Regulator Bo Zhang, Chen Zhang, Fang Ma, Dawei Song arXiv_CL arXiv_CL Gradient_Descent Pose Few-Shot Inference Matching PDF
2022-04-25 A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan arXiv_CV arXiv_CV Transfer_Learning Gradient_Descent Recognition Optical_Character Adversarial Classification Autonomous PDF
2022-04-18 Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport Yingtao Tian, Marco Cuturi, David Ha arXiv_CV arXiv_CV Embedding Gradient_Descent Image_Generation Pose Quantitative Deep_Learning Matching PDF
2022-04-16 The Tree Loss: Improving Generalization with Many Classes Yujie Wang, Mike Izbicki arXiv_AI arXiv_AI Gradient_Descent Classification PDF
2022-04-15 Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Review Pose Relation GAN PDF
2022-04-14 RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis arXiv_AI arXiv_AI NAS Gradient_Descent Optimization Face PDF
2022-04-12 Compact Model Training by Low-Rank Projection with Energy Transfer Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu arXiv_CV arXiv_CV Gradient_Descent Pose Deep_Learning Attention PDF
2022-04-12 FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive Sensing Wenjun Chen, Chunling Yang, Xin Yang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Optimization Pose Quantitative Deep_Learning Compressive_Sensing PDF
2022-04-11 Position-wise optimizer: A nature-inspired optimization algorithm Amir Valizadeh arXiv_CL arXiv_CL Gradient_Descent Optimization PDF
2022-04-11 Towards Painless Policy Optimization for Constrained MDPs Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvari, Doina Precup arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Action PDF
2022-04-09 Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method Zhijian Li, Jack Xin arXiv_AI arXiv_AI Quantization Gradient_Descent Sparse Pose QA PDF
2022-04-08 The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system A.M. Vorontsov, G.A. Filimonov arXiv_AI arXiv_AI Transformer Gradient_Descent Optimization PDF
2022-04-08 Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesus Villalba, Sanjeev Khudanpur, Najim Dehak arXiv_SD arXiv_SD Gradient_Descent Recognition Adversarial Speech Pose Speech_Recognition PDF
2022-04-08 AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification Sonal Joshi, Saurabh Kataria, Jesus Villalba, Najim Dehak arXiv_SD arXiv_SD Embedding Gradient_Descent Represenation_Learning Adversarial Pose Classification Detection Inference PDF
2022-04-07 What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Deep_Learning PDF
2022-03-31 Exploiting Explainable Metrics for Augmented SGD Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Deep_Learning PDF
2022-03-30 An analytic theory for the dynamics of wide quantum neural networks Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, Antonio Mezzacapo arXiv_AI arXiv_AI Gradient_Descent PDF
2022-03-30 Learning of Global Objective for Network Flow in Multi-Object Tracking Shuai Li, Yu Kong, Hamid Rezatofighi arXiv_CV arXiv_CV Tracking Gradient_Descent Optimization Object_Tracking Pose Inference PDF
2022-03-28 Wildfire risk forecast: An optimizable fire danger index Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson arXiv_AI arXiv_AI Gradient_Descent Pose Prediction PDF
2022-03-28 Conjugate Gradient Method for Generative Adversarial Networks Hiroki Naganuma, Hideaki Iiduka arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose GAN PDF
2022-03-28 ARCS: Accurate Rotation and Correspondence Search Liangzu Peng, Manolis C. Tsakiris, Rene Vidal arXiv_CV arXiv_CV Gradient_Descent Pose PDF
2022-03-25 A Visual Navigation Perspective for Category-Level Object Pose Estimation Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yunhui Liu, Yue Wang, Yiyi Liao arXiv_CV arXiv_CV Gradient_Descent Reinforcement_Learning Pose_Estimation Pose Inference PDF
2022-03-24 Locally Asynchronous Stochastic Gradient Descent for Decentralised Deep Learning Tomer Avidor, Nadav Tal Israel arXiv_AI arXiv_AI Gradient_Descent Sparse Pose Classification Deep_Learning Image_Classification PDF
2022-03-23 Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs Siow Meng Low, Akshat Kumar, Scott Sanner arXiv_AI arXiv_AI Gradient_Descent Optimization Deep_Learning PDF
2022-03-22 End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training Fatih Kamisli arXiv_CV arXiv_CV Gradient_Descent Optimization Image_Compression CNN Prediction PDF
2022-03-22 Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation Hensel Donato Jahja, Novanto Yudistira, Sutrisno arXiv_CV arXiv_CV Transformer Transfer_Learning Gradient_Descent Recognition Face Classification CNN PDF
2022-03-21 Generating Fast and Slow: Scene Decomposition via Reconstruction Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki arXiv_RO arXiv_RO Reconstruction Segmentation Unsupervised Gradient_Descent 3D Pose Detection Object_Detection Inference PDF
2022-03-21 ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm Thanh-Nghi Do arXiv_CV arXiv_CV Gradient_Descent Pose Classification PDF
2022-03-21 The activity-weight duality in feed forward neural networks: The geometric determinants of generalization Yu Feng, Yuhai Tu arXiv_AI arXiv_AI Gradient_Descent Regularization Pose Activity PDF
2022-03-16 Gradient Correction beyond Gradient Descent Zefan Li, Bingbing Ni, Teng Li, WenJun Zhang, Wen Gao arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Prediction PDF
2022-03-15 Surrogate Gap Minimization Improves Sharpness-Aware Training Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha Dvornek, Sekhar Tatikonda, James Duncan, Ting Liu arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-03-14 MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li arXiv_SD arXiv_SD Gradient_Descent Enhancement Speech Pose Quantitative PDF
2022-03-11 Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor arXiv_SD arXiv_SD Gradient_Descent Enhancement Recognition Speech Action Classification Deep_Learning CNN PDF
2022-03-08 COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi, Johannes Treutlein, Alistair Letcher, Jakob Foerster arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2022-03-07 Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences Gordon Euhyun Moon, Eric C. Cyr arXiv_CV arXiv_CV Gradient_Descent PDF
2022-03-04 Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus arXiv_RO arXiv_RO Gradient_Descent Pose Autonomous PDF
2022-03-04 Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration Zi-Ming Wang, Nan Xue, Ling Lei, Gui-Song Xia arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose Matching PDF
2022-03-02 SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks Peng Zhou, Jason K. Eshraghian, Dong-Uk Choi, Sung-Mo Kang arXiv_AI arXiv_AI Gradient_Descent PDF
2022-02-28 ERF: Explicit Radiance Field Reconstruction From Scratch Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard Newcombe arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Optimization Sparse Pose Face PDF
2022-02-24 Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu arXiv_AI arXiv_AI Gradient_Descent PDF
2022-02-22 Model2Detector:Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps Sumedh A Sontakke, Buvaneswari Ramanan, Laurent Itti, Thomas Woo arXiv_AI arXiv_AI Gradient_Descent Detection Object_Detection Inference Prediction PDF
2022-02-16 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity Chengyue Gong, Lemeng Wu, Qiang Liu arXiv_CV arXiv_CV Gradient_Descent Optimization Deep_Learning PDF
2022-02-16 The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining Murat Kuzlu, Ferhat Ozgur Catak, Umit Cali, Evren Catak, Ozgur Guler arXiv_AI arXiv_AI Gradient_Descent Adversarial Pose Deep_Learning Prediction PDF
2022-02-15 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games Chao Ma, Lexing Ying arXiv_AI arXiv_AI Gradient_Descent GAN PDF
2022-02-11 Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks Sangmin Lee, Byeongsu Sim, Jong Chul Ye arXiv_AI arXiv_AI Gradient_Descent Regularization PDF
2022-02-10 Domain Adversarial Training: A Game Perspective David Acuna, Marc T Law, Guojun Zhang, Sanja Fidler arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2022-02-10 Equivariance Regularization for Image Reconstruction Junqi Tang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Optimization Sparse Regularization Pose PDF
2022-02-09 Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose PDF
2022-02-08 Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning Yang Zhao, Hao Zhang, Xiuyuan Hu arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Deep_Learning PDF
2022-02-07 Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing Hongming Li, Shujian Yu, Jose C. Principe arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2022-02-07 Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks Seyyedali Hosseinalipour, Su Wang, Nicolo Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang arXiv_AI arXiv_AI Tracking Gradient_Descent Optimization Pose PDF
2022-02-05 Distributed Learning With Sparsified Gradient Differences Yicheng Chen, Rick S. Blum, Martin Takac, Brian M. Sadler arXiv_AI arXiv_AI Gradient_Descent Optimization PDF
2022-02-03 Comparative assessment of federated and centralized machine learning Ibrahim Abdul Majeed, Sagar Kaushik, Aniruddha Bardhan, Venkata Siva Kumar Tadi, Hwang-Ki Min, Karthikeyan Kumaraguru, Rajasekhara Duvvuru Muni arXiv_AI arXiv_AI Gradient_Descent PDF
2022-02-01 Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran, Chesea Finn, Sergey Levine arXiv_CV arXiv_CV Gradient_Descent Knowledge Pose Detection Object_Detection PDF
2022-01-31 Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization Samuel Hurault, Arthur Leclaire, Nicolas Papadakis arXiv_CV arXiv_CV Gradient_Descent Inpainting Super_Resolution Restoration Optimization Regularization Pose Denoising PDF
2022-01-30 Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt arXiv_CV arXiv_CV NAS Gradient_Descent Sparse Pose Classification PDF
2022-01-30 Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images Garvit Chhabra, J. H. Gagan, J. R. Harish Kumar arXiv_CV arXiv_CV Segmentation Gradient_Descent Pose Action Deep_Learning Detection Matching PDF
2022-01-29 Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler arXiv_CV arXiv_CV NAS Segmentation Semi_Supervised Semantic_Segmentation Gradient_Descent Self-Supervised Pose PDF
2022-01-29 Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose PDF
2022-01-29 Continual Learning with Recursive Gradient Optimization Hao Liu, Huaping Liu arXiv_AI arXiv_AI Gradient_Descent Optimization Knowledge Pose Classification PDF
2022-01-22 Robust Unpaired Single Image Super-Resolution of Faces Saurabh Goswami, Rajagopalan A. N arXiv_CV arXiv_CV Gradient_Descent Super_Resolution Adversarial Pose Face PDF
2022-01-22 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension Paris V. Giampouras, Benjamin D. Haeffele, René Vidal arXiv_CV arXiv_CV Gradient_Descent Represenation_Learning Regularization Pose PDF
2022-01-19 Data Augmentation for Bayesian Deep Learning Yuexi Wang, Nicholas G. Polson, Vadim O. Sokolov arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Deep_Learning Prediction PDF
2022-01-19 A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani arXiv_CV arXiv_CV Gradient_Descent Review Adversarial Survey Classification Deep_Learning GAN Medical PDF
2022-01-16 On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra arXiv_CV arXiv_CV Gradient_Descent Pose Denoising CNN PDF
2022-01-16 Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller arXiv_CV arXiv_CV Gradient_Descent PDF
2022-01-14 Perspective Transformation Layer Nishan Khatri, Agnibh Dasgupta, Yucong Shen, Xin Zhong, Frank Shih arXiv_CV arXiv_CV Gradient_Descent Pose Deep_Learning Attention CNN PDF
2022-01-12 There is a Singularity in the Loss Landscape Mark Lowell arXiv_AI arXiv_AI Gradient_Descent PDF
2022-01-05 Robotic Laser Orientation Planning with a 3D Data-driven Method Guangshen Ma, Weston Ross, Patrick J. Codd arXiv_RO arXiv_RO Gradient_Descent 3D Optimization Pose Contour PDF
2021-12-31 On Distinctive Properties of Universal Perturbations Sung Min Park, Kuo-An Wei, Kai Xiao, Jerry Li, Aleksander Madry arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2021-12-30 Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning Feng Yichang, Zhang Haiyun, Wang Jin, Lu Guodong arXiv_RO arXiv_RO Gradient_Descent Optimization Pose PDF
2021-12-28 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose Classification PDF
2021-12-28 Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience David McCaffary arXiv_AI arXiv_AI Gradient_Descent Recognition Knowledge Review Deep_Learning PDF
2021-12-24 An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation Honguk Woo, Hyunsung Lee, Sangwoo Cho arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization Inference PDF
2021-12-23 Attentive Multi-View Deep Subspace Clustering Net Run-kun Lu, Jian-wei Liu, Xin Zuo arXiv_CV arXiv_CV Gradient_Descent Represenation_Learning Pose Attention PDF
2021-12-23 A Random Point Initialization Approach to Image Segmentation with Variational Level-sets J.N. Mueller, J.N. Corcoran arXiv_CV arXiv_CV Segmentation Gradient_Descent Knowledge Pose Contour PDF
2021-12-21 A Theoretical View of Linear Backpropagation and Its Convergence Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2021-12-20 General Greedy De-bias Learning Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian arXiv_CV arXiv_CV Gradient_Descent Regularization Knowledge Adversarial Pose Classification Relation VQA Image_Classification Prediction PDF
2021-12-15 One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks Manuel Senge, Timour Igamberdiev, Ivan Habernal arXiv_CL arXiv_CL Gradient_Descent PDF
2021-12-13 N-SfC: Robust and Fast Shape Estimation from Caustic Images Marc Kassubeck, Moritz Kappel, Susana Castillo, Marcus Magnor arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Optimization Face Denoising PDF
2021-12-13 Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung arXiv_CV arXiv_CV Unsupervised Gradient_Descent Pose Quantitative PDF
2021-12-12 HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Optimization Pose Action Compressive_Sensing Attention PDF
2021-12-08 Reverse image filtering using total derivative approximation and accelerated gradient descent Fernando J. Galetto, Guang Deng arXiv_CV arXiv_CV Gradient_Descent Pose PDF
2021-12-07 GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert arXiv_CV arXiv_CV Reconstruction Embedding Gradient_Descent 3D Optimization Regularization Deep_Learning CNN PDF
2021-12-07 Shrub Ensembles for Online Classification Sebastian Buschjäger, Sibylle Hess, Katharina Morik arXiv_AI arXiv_AI Gradient_Descent Pose Classification PDF
2021-12-02 Differentiable Generalised Predictive Coding André Ofner, Sebastian Stober arXiv_AI arXiv_AI Gradient_Descent Sketch Prediction PDF
2021-12-01 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr arXiv_CV arXiv_CV Tracking Gradient_Descent Object_Tracking Detection Object_Detection CNN PDF
2021-12-01 SaDe: Learning Models that Provably Satisfy Domain Constraints Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel arXiv_AI arXiv_AI Gradient_Descent Regularization Action PDF
2021-11-30 Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos, S. Noteboom, H. E. Hulst, F.M. Vos, M.W.A. Caan arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Optimization Pose Inference PDF
2021-11-30 Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees Tristan Milne, Étienne Bilocq, Adrian Nachman arXiv_CV arXiv_CV Gradient_Descent Pose Denoising GAN PDF
2021-11-29 MIXER: A Principled Framework for Multimodal, Multiway Data Association Parker C. Lusk, Ronak Roy, Kaveh Fathian, Jonathan P. How arXiv_RO arXiv_RO Tracking Gradient_Descent Recognition Object_Tracking Detection Matching PDF
2021-11-29 Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition Junhao Xu, Jianwei Yu, Shoukang Hu, Xunying Liu, Helen Meng arXiv_CL arXiv_CL Transformer NAS Quantization Gradient_Descent Recognition RNN Speech Pose Speech_Recognition Language_Model PDF
2021-11-27 Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization Thanh Nguyen-Tang, Sunil Gupta, A.Tuan Nguyen, Svetha Venkatesh arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-11-22 BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao, Ramin Hasani, Xiao Li, Daniela Rus arXiv_RO arXiv_RO Gradient_Descent 3D PDF
2021-11-21 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose Deep_Learning Attention PDF
2021-11-18 Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Self-Supervised Action Autonomous Prediction PDF
2021-11-18 Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen arXiv_CV arXiv_CV Reconstruction Gradient_Descent Optimization Pose Quantitative Deep_Learning Prediction PDF
2021-11-18 How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task Urja Khurana, Eric Nalisnick, Antske Fokkens arXiv_CL arXiv_CL Gradient_Descent Bert Emotion Sentiment Language_Model PDF
2021-11-17 DeepCurrents: Learning Implicit Representations of Shapes with Boundaries David Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon arXiv_CV arXiv_CV Gradient_Descent Point_Cloud Pose Face PDF
2021-11-17 Network Generation with Differential Privacy Xu Zheng, Nicholas McCarthy, Jer Hayes arXiv_AI arXiv_AI Gradient_Descent Pose GAN PDF
2021-11-16 PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding André Ofner, Sebastian Stober arXiv_AI arXiv_AI Embedding Gradient_Descent Optimization Activity Inference Prediction PDF
2021-11-15 Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits Shiro Tamiya, Hayata Yamasaki arXiv_CV arXiv_CV Gradient_Descent Optimization VQA QA PDF
2021-11-15 Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi arXiv_CV arXiv_CV Unsupervised Gradient_Descent Pose Classification CNN PDF
2021-11-15 Volumetric Parameterization of the Placenta to a Flattened Template S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland arXiv_CV arXiv_CV Gradient_Descent Optimization Matching PDF
2021-11-14 Auxiliary Loss Adaption for Image Inpainting Siqi Hui, Sanping Zhou, Xingyu Wan, Jixin Wang, Ye Deng, Yang Wu, Zhenghao Gong, Jinjun Wang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Inpainting Knowledge PDF
2021-11-12 Predictive coding, precision and natural gradients Andre Ofner, Raihan Kabir Ratul, Suhita Ghosh, Sebastian Stober arXiv_AI arXiv_AI Embedding Unsupervised Gradient_Descent Optimization GAN Inference PDF
2021-11-11 On the Equivalence between Neural Network and Support Vector Machine Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng arXiv_CV arXiv_CV Gradient_Descent Pose PDF
2021-11-10 Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni arXiv_CV arXiv_CV Gradient_Descent Sparse Adversarial Pose PDF
2021-11-09 Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan arXiv_CV arXiv_CV Quantization Gradient_Descent Enhancement Point_Cloud 3D Optimization Sparse Denoising PDF
2021-11-08 Grassmannian learning mutual subspace method for image set recognition Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui arXiv_CV arXiv_CV Gradient_Descent Recognition Pose Emotion Face CNN PDF
2021-11-08 Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography Hengrong Lan, Jiali Gong, Fei Gao arXiv_CV arXiv_CV Reconstruction Gradient_Descent Regularization Pose Deep_Learning Detection PDF
2021-11-06 Feedback Control of Millimeter Scale Pivot Walkers Using Magnetic Actuation Ehab Al Khatib, Pouria Razzaghi, Yildirim Hurmuzlu arXiv_RO arXiv_RO Tracking Gradient_Descent Optimization Pose Action Medical PDF
2021-11-03 A Meta-Learned Neuron model for Continual Learning Rodrigue Siry arXiv_AI arXiv_AI Gradient_Descent Knowledge Inference PDF
2021-11-02 Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks Robert Lieck, Martin Rohrmeier arXiv_AI arXiv_AI Segmentation Gradient_Descent Quantitative Detection Inference PDF
2021-11-01 Free Probability, Newton lilypads and Jacobians of neural networks Reda Chhaibi, Tariq Daouda, Ezechiel Kahn arXiv_AI arXiv_AI Gradient_Descent Action PDF
2021-11-01 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization Yujia Wang, Lu Lin, Jinghui Chen arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-10-29 Generalized Data Weighting via Class-level Gradient Manipulation Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou arXiv_CV arXiv_CV Gradient_Descent Pose PDF
2021-10-26 Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization Pose PDF
2021-10-26 DPCOVID: Privacy-Preserving Federated Covid-19 Detection Trang-Thi Ho, Yennun-Huang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Pose Action Detection PDF
2021-10-21 Asynchronous Decentralized Distributed Training of Acoustic Models Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung arXiv_CL arXiv_CL Gradient_Descent Recognition RNN Speech Pose Speech_Recognition PDF
2021-10-21 Towards strong pruning for lottery tickets with non-zero biases Jonas Fischer, Rebekka Burkholz arXiv_AI arXiv_AI Gradient_Descent Deep_Learning PDF
2021-10-19 Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong arXiv_CV arXiv_CV Transfer_Learning Gradient_Descent Self-Supervised CNN Inference PDF
2021-10-19 Gradient-Based Mixed Planning with Discrete and Continuous Actions Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Action Relation PDF
2021-10-17 Explaining generalization in deep learning: progress and fundamental limits Vaishnavh Nagarajan arXiv_AI arXiv_AI Gradient_Descent Deep_Learning PDF
2021-10-17 Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set Mao Ye, Qiang Liu arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Action Deep_Learning PDF
2021-10-15 Meta-learning via Language Model In-context Tuning Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He arXiv_CL arXiv_CL Gradient_Descent Text_Classification Pose Classification Language_Model Prediction Matching PDF
2021-10-14 The AI Triplet: Computational, Conceptual, and Mathematical Representations in AI Education Maithilee Kunda arXiv_AI arXiv_AI Gradient_Descent Knowledge Pose PDF
2021-10-13 Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms Taewan Kim, Purnanand Elango, Danylo Malyuta, Behcet Acikmese arXiv_RO arXiv_RO Gradient_Descent Optimization Pose PDF
2021-10-13 A Framework for Verification of Wasserstein Adversarial Robustness Tobias Wegel, Felix Assion, David Mickisch, Florens Greßner arXiv_CV arXiv_CV Gradient_Descent Adversarial Classification PDF
2021-10-13 SDR -- Medium Rare with Fast Computations Robin Scheibler arXiv_SD arXiv_SD Gradient_Descent Pose PDF
2021-10-12 Implicit Bias of Linear Equivariant Networks Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani arXiv_AI arXiv_AI Gradient_Descent Regularization Pose Classification CNN PDF
2021-10-12 Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration Weichao Mao, Tamer Başar, Lin F. Yang, Kaiqing Zhang arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Pose Action PDF
2021-10-12 Large Language Models Can Be Strong Differentially Private Learners Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto arXiv_CL arXiv_CL Transformer Gradient_Descent Optimization Pose Deep_Learning Language_Model PDF
2021-10-11 Differentiable Stereopsis: Meshes from multiple views using differentiable rendering Shubham Goel, Georgia Gkioxari, Jitendra Malik arXiv_CV arXiv_CV Reconstruction Gradient_Descent 3D Optimization Pose Quantitative PDF
2021-10-11 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations Jiayao Zhang, Hua Wang, Weijie J. Su arXiv_CV arXiv_CV Gradient_Descent Deep_Learning PDF
2021-10-10 Heavy Ball Neural Ordinary Differential Equations Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang arXiv_AI arXiv_AI Gradient_Descent Pose Classification Image_Classification Inference PDF
2021-10-10 ZARTS: On Zero-order Optimization for Neural Architecture Search Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang arXiv_CV arXiv_CV NAS Gradient_Descent Optimization Pose PDF
2021-10-09 Demystifying the Transferability of Adversarial Attacks in Computer Networks Ehsan Nowroozi, Mauro Conti, Yassine Mekdad, Mohammad Hajian Berenjestanaki, Abdeslam EL Fergougui arXiv_AI arXiv_AI Gradient_Descent Salient Knowledge Adversarial Speech Deep_Learning Detection CNN PDF
2021-10-08 Auto-DSP: Learning to Optimize Acoustic Echo Cancellers Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis arXiv_SD arXiv_SD Gradient_Descent Optimization Knowledge Denoising PDF
2021-10-08 On the Implicit Biases of Architecture & Gradient Descent Jeremy Bernstein, Yisong Yue arXiv_AI arXiv_AI Gradient_Descent Inference PDF
2021-10-08 Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang arXiv_CV arXiv_CV NAS Gradient_Descent Pose CNN PDF
2021-10-07 Neural Tangent Kernel Empowered Federated Learning Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2021-10-07 Direct design of biquad filter cascades with deep learning by sampling random polynomials Joseph T. Colonel, Christian J. Steinmetz, Marcus Michelen, Joshua D. Reiss arXiv_SD arXiv_SD Gradient_Descent Optimization Deep_Learning Matching PDF
2021-10-07 Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault, Arthur Leclaire, Nicolas Papadakis arXiv_CV arXiv_CV Gradient_Descent Inpainting Super_Resolution Regularization Pose Quantitative PDF
2021-10-07 Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan arXiv_AI arXiv_AI Gradient_Descent Pose Relation PDF
2021-10-06 HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu, Massoud Pedram, Peter A. Beerel arXiv_AI arXiv_AI Gradient_Descent Optimization Adversarial Classification PDF
2021-10-05 S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li arXiv_AI arXiv_AI Gradient_Descent Sparse Sketch Pose Deep_Learning PDF
2021-10-03 Kalman Bayesian Neural Networks for Closed-form Online Learning Philipp Wagner, Xinyang Wu, Marco F. Huber arXiv_AI arXiv_AI Gradient_Descent Pose Inference Prediction PDF
2021-10-01 Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Schwarz, Siddhant M. Jayakumar, Razvan Pascanu, Peter E. Latham, Yee Whye Teh arXiv_AI arXiv_AI Gradient_Descent Sparse Attention PDF
2021-09-30 Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang arXiv_AI arXiv_AI Gradient_Descent Represenation_Learning Pose Classification PDF
2021-09-30 Adversarial Semantic Contour for Object Detection Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose Detection Contour Object_Detection PDF
2021-09-29 Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning Junyu Chen, Evren Asma, Chung Chan arXiv_CV arXiv_CV Gradient_Descent Knowledge Pose Denoising CNN PDF
2021-09-28 StereoSpike: Depth Learning with a Spiking Neural Network Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier arXiv_AI arXiv_AI Gradient_Descent Regularization Knowledge Pose Autonomous Prediction PDF
2021-09-28 The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation Anna Winnicki, Joseph Lubars, Michael Livesay, R. Srikant arXiv_AI arXiv_AI Gradient_Descent Action PDF
2021-09-26 Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration Alexander Thorley, Xi Jia, Hyung Jin Chang, Boyang Liu, Karina Bunting, Victoria Stoll, Antonio de Marvao, Declan P. O'Regan, Georgios Gkoutos, Dipak Kotecha, Jinming Duan arXiv_CV arXiv_CV Gradient_Descent 3D Pose Deep_Learning Inference PDF
2021-09-25 L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu arXiv_CV arXiv_CV NAS Gradient_Descent Reinforcement_Learning Optimization Pose Action PDF
2021-09-23 Adversarial Transfer Attacks With Unknown Data and Class Overlap Luke E. Richards, André Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek, Edward Raff arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2021-09-22 Recursive Feasibility Guided Optimal Parameter Adaptation of Differential Convex Optimization Policies for Safety-Critical Systems Hardik Parwana, Dimitra Panagou arXiv_RO arXiv_RO Gradient_Descent Optimization Knowledge Pose PDF
2021-09-22 Differentiable Surface Triangulation Marie-Julie Rakotosaona, Noam Aigerman, Niloy Mitra, Maks Ovsjanikov, Paul Guerrero arXiv_CV arXiv_CV Gradient_Descent 3D Optimization Face PDF
2021-09-22 LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2021-09-21 A Novel Structured Natural Gradient Descent for Deep Learning Weihua Liu, Xiabi Liu arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Deep_Learning PDF
2021-09-21 Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-09-20 Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang arXiv_AI arXiv_AI Gradient_Descent Quantitative PDF
2021-09-18 Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts Yingtao Tian, David Ha arXiv_CV arXiv_CV Gradient_Descent Pose Action Deep_Learning PDF
2021-09-18 Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme arXiv_RO arXiv_RO Gradient_Descent Optimization Inference Prediction PDF
2021-09-16 Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K Mishra, Vijaykrishnan Narayanan, Mahmut T Kandemir, Chita R Das arXiv_CV arXiv_CV Gradient_Descent Optimization Sparse Pose Classification Detection Object_Detection Image_Classification Inference PDF
2021-09-14 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization Pose Action Relation Relation_Extraction PDF
2021-09-09 SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor Prasanna arXiv_CL arXiv_CL Embedding Gradient_Descent Knowledge Knowledge_Graph Pose Relation Inference PDF
2021-09-09 Robot Localization and Navigation through Predictive Processing using LiDAR Daniel Burghardt, Pablo Lanillos arXiv_AI arXiv_AI Gradient_Descent Self-Supervised Action Prediction PDF
2021-09-08 Fixed Support Tree-Sliced Wasserstein Barycenter Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-09-05 Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha arXiv_AI arXiv_AI Gradient_Descent Adversarial Pose Prediction PDF
2021-09-03 Stochastic Physics-Informed Neural Networks : A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations Jared O'Leary, Joel A. Paulson, Ali Mesbah arXiv_AI arXiv_AI Gradient_Descent Pose Deep_Learning Matching PDF
2021-09-02 Regional Adversarial Training for Better Robust Generalization Chuanbiao Song, Yanbo Fan, Yicheng Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He arXiv_CV arXiv_CV Gradient_Descent Knowledge Adversarial Pose PDF
2021-08-29 Rumor Detection on Social Media with Hierarchical Adversarial Training Shiwen Ni, Jiawen Li, Hung-Yu Kao arXiv_CL arXiv_CL Embedding Gradient_Descent Sparse Adversarial Pose Detection Object_Detection PDF
2021-08-25 Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash Patel, Giorgos Tolias, Jiri Matas arXiv_CV arXiv_CV Gradient_Descent Recognition Optimization Image_Retrieval Pose PDF
2021-08-24 Cumulant GAN Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou, Markos Katsoulakis arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose GAN PDF
2021-08-23 Adaptive shot allocation for fast convergence in variational quantum algorithms Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith arXiv_CV arXiv_CV Gradient_Descent Optimization VQA QA PDF
2021-08-23 Rate distortion comparison of a few gradient quantizers Tharindu Adikari arXiv_AI arXiv_AI Quantization Gradient_Descent PDF
2021-08-20 D-DARTS: Distributed Differentiable Architecture Search Alexandre Heuillet, Hedi Tabia, Hichem Arioui, Kamal Youcef-Toumi arXiv_CV arXiv_CV NAS Gradient_Descent Pose PDF
2021-08-12 Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang arXiv_CV arXiv_CV Reconstruction Gradient_Descent Pose PDF
2021-08-11 Instance-weighted Central Similarity for Multi-label Image Retrieval Zhiwei Zhang, Hanyu Peng, Hongsheng Li arXiv_CV arXiv_CV Gradient_Descent Optimization Image_Retrieval Pose Relation PDF
2021-08-10 Differentiable Subset Pruning of Transformer Heads Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan arXiv_CL arXiv_CL Transformer Gradient_Descent Attention Inference PDF
2021-08-04 Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun arXiv_CL arXiv_CL Gradient_Descent Text_Classification Knowledge Classification Few-Shot Language_Model PDF
2021-08-01 BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong arXiv_CV arXiv_CV Gradient_Descent Optimization Self-Supervised Pose PDF
2021-07-31 Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones Kelvin Cheng, Christopher Healey, Tianfu Wu arXiv_AI arXiv_AI Gradient_Descent Adversarial Pose Matching PDF
2021-07-31 DCT2net: an interpretable shallow CNN for image denoising Sébastien Herbreteau, Charles Kervrann arXiv_CV arXiv_CV Gradient_Descent 3D Pose Denoising CNN PDF
2021-07-30 DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song arXiv_AI arXiv_AI Quantization Gradient_Descent PDF
2021-07-23 Dynamic Proximal Unrolling Network for Compressive Sensing Imaging Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu arXiv_CV arXiv_CV Reconstruction Gradient_Descent Pose Compressive_Sensing Inference PDF
2021-07-21 Distribution of Classification Margins: Are All Data Equal? Andrzej Banburski, Fernanda De La Torre, Nishka Pant, Ishana Shastri, Tomaso Poggio arXiv_AI arXiv_AI Gradient_Descent Classification PDF
2021-07-20 Edge of chaos as a guiding principle for modern neural network training Lin Zhang, Ling Feng, Kan Chen, Choy Heng Lai arXiv_AI arXiv_AI Gradient_Descent Regularization Relation PDF
2021-07-19 Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da, Dan Shen arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Relation Prediction PDF
2021-07-17 Data-informed Deep Optimization Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-07-15 Learning Mixed-Integer Linear Programs from Contextual Examples Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso arXiv_AI arXiv_AI Gradient_Descent PDF
2021-07-14 Meta-Optimization of Deep CNN for Image Denoising Using LSTM Basit O. Alawode, Motaz Alfarraj arXiv_AI arXiv_AI Gradient_Descent Enhancement Optimization RNN Deep_Learning Denoising CNN PDF
2021-07-14 RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng arXiv_CV arXiv_CV Gradient_Descent Pose CNN Inference PDF
2021-07-14 An Efficient DP-SGD Mechanism for Large Scale NLP Models Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky arXiv_CL arXiv_CL Transformer Gradient_Descent RNN Pose Deep_Learning Inference PDF
2021-07-14 Continuous vs. Discrete Optimization of Deep Neural Networks Omer Elkabetz, Nadav Cohen arXiv_AI arXiv_AI Gradient_Descent Optimization Deep_Learning PDF
2021-07-14 Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks Shaohuai Shi, Lin Zhang, Bo Li arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2021-07-13 Tourbillon: a Physically Plausible Neural Architecture Mohammadamin Tavakoli, Pierre Baldi, Peter Sadowski arXiv_AI arXiv_AI Gradient_Descent Self-Supervised Face Deep_Learning PDF
2021-07-13 AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He arXiv_AI arXiv_AI Segmentation Semantic_Segmentation Gradient_Descent Optimization Knowledge Pose PDF
2021-07-12 Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John Pauly, Morteza Mardani, Mert Pilanci arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose GAN PDF
2021-07-12 Improving the Algorithm of Deep Learning with Differential Privacy Mehdi Amian arXiv_AI arXiv_AI Gradient_Descent RNN Pose Classification Deep_Learning PDF
2021-07-12 HEMP: High-order Entropy Minimization for neural network comPression Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto arXiv_AI arXiv_AI Quantization Gradient_Descent Regularization PDF
2021-07-11 SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs Satyen Kale, Ayush Sekhari, Karthik Sridharan arXiv_AI arXiv_AI Gradient_Descent Optimization Regularization Deep_Learning PDF
2021-07-09 Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis arXiv_CV arXiv_CV Gradient_Descent Deep_Learning Medical Inference PDF
2021-07-07 KaFiStO: A Kalman Filtering Framework for Stochastic Optimization Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvilli, Adam Bielski, Paolo Favaro arXiv_CV arXiv_CV Gradient_Descent Optimization Pose Language_Model PDF
2021-07-06 Differentially private federated deep learning for multi-site medical image segmentation Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis arXiv_CV arXiv_CV Segmentation Semantic_Segmentation Gradient_Descent Deep_Learning Medical PDF
2021-07-06 ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli arXiv_CV arXiv_CV Gradient_Descent Adversarial PDF
2021-07-05 Imputation-Free Learning from Incomplete Observations Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning RNN Pose Inference Prediction PDF
2021-07-05 Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks Xin Liu, Zhisong Pan arXiv_AI arXiv_AI Gradient_Descent Optimization Deep_Learning PDF
2021-07-02 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao arXiv_AI arXiv_AI Gradient_Descent Optimization PDF
2021-07-01 Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee arXiv_CL arXiv_CL Gradient_Descent Speech Pose Classification PDF
2021-06-30 Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou arXiv_CL arXiv_CL Embedding Gradient_Descent Pose Inference PDF
2021-06-29 Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata arXiv_AI arXiv_AI Gradient_Descent Knowledge Pose PDF
2021-06-25 Assessing Generalization of SGD via Disagreement Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter arXiv_AI arXiv_AI Gradient_Descent PDF
2021-06-24 Class agnostic moving target detection by color and location prediction of moving area Zhuang He, Qi Li, Huajun Feng, Zhihai Xu arXiv_CV arXiv_CV Tracking Gradient_Descent Pose Deep_Learning Detection CNN Optical_Flow Prediction PDF
2021-06-22 Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data Tung Doan, Atsuhiro Takasu arXiv_CV arXiv_CV Segmentation Gradient_Descent Optimization Regularization Pose PDF
2021-06-22 Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu arXiv_AI arXiv_AI Gradient_Descent Optimization Pose PDF
2021-06-21 Normalized Gradient Descent for Variational Quantum Algorithms Yudai Suzuki, Hiroshi Yano, Rudy Raymond, Naoki Yamamoto arXiv_CV arXiv_CV Gradient_Descent Optimization Pose VQA QA PDF
2021-06-19 Learning and Generalization in Overparameterized Normalizing Flows Kulin Shah, Amit Deshpande, Navin Goyal arXiv_AI arXiv_AI Unsupervised Gradient_Descent PDF
2021-06-16 Multi-scale Neural ODEs for 3D Medical Image Registration Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun arXiv_CV arXiv_CV Gradient_Descent 3D Optimization Pose Deep_Learning Medical Inference PDF
2021-06-15 SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent Jiankun Chen, Xiaolan Qiu, Chibiao Ding, Yirong Wu arXiv_CV arXiv_CV Unsupervised Gradient_Descent Face Classification CNN Image_Classification PDF
2021-06-15 Non-Gradient Manifold Neural Network Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Classification PDF
2021-06-15 Scaling Neural Tangent Kernels via Sketching and Random Features Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin arXiv_CV arXiv_CV Gradient_Descent Sketch Classification CNN PDF
2021-06-15 Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent Priyank Jaini, Lars Holdijk, Max Welling arXiv_AI arXiv_AI Gradient_Descent Pose Classification PDF
2021-06-14 Automated Parking Space Detection Using Convolutional Neural Networks Julien Nyambal, Richard Klein arXiv_CV arXiv_CV Gradient_Descent Classification Detection CNN Prediction PDF
2021-06-11 Multi-Receiver Online Bayesian Persuasion Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti arXiv_AI arXiv_AI Gradient_Descent Adversarial Face Action PDF
2021-06-11 Towards Understanding Generalization via Decomposing Excess Risk Dynamics Jiaye Teng, Jianhao Ma, Yang Yuan arXiv_AI arXiv_AI Gradient_Descent Pose PDF
2021-06-11 Instance-Level Task Parameters: A Robust Multi-task Weighting Framework Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel arXiv_CV arXiv_CV Segmentation Semantic_Segmentation Gradient_Descent Pose_Estimation Pose Face PDF
2021-06-10 Deep neural network loses attention to adversarial images Shashank Kotyan, Danilo Vasconcellos Vargas arXiv_AI arXiv_AI Gradient_Descent Salient Adversarial Classification Attention Image_Classification PDF
2021-06-08 SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning Jiayi Ma, Yuxin Deng arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Matching PDF
2021-06-07 Batch Normalization Orthogonalizes Representations in Deep Random Networks Hadi Daneshmand, Amir Joudaki, Francis Bach arXiv_AI arXiv_AI Gradient_Descent Optimization Classification PDF
2021-06-07 Learning Stochastic Optimal Policies via Gradient Descent Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama arXiv_AI arXiv_AI Gradient_Descent Optimization Pose Action PDF
2021-06-04 Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Action Matching PDF
2021-06-04 SpikePropamine: Differentiable Plasticity in Spiking Neural Networks Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays arXiv_RO arXiv_RO Gradient_Descent PDF
2021-06-04 Differentially Private Deep Learning under the Fairness Lens Cuong Tran, My H. Dinh, Ferdinando Fioretto arXiv_AI arXiv_AI Gradient_Descent Pose Deep_Learning PDF
2021-06-03 Robust Learning via Persistency of Excitation Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer arXiv_CV arXiv_CV Gradient_Descent Adversarial Relation PDF
2021-06-03 Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella, Simone Totaro, Anders Jonsson arXiv_AI arXiv_AI Gradient_Descent Optimization Represenation_Learning Knowledge PDF
2021-06-03 PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack Alexander Matyasko, Lap-Pui Chau arXiv_CV arXiv_CV Gradient_Descent Adversarial Pose PDF
2021-05-31 Why does CTC result in peaky behavior? Albert Zeyer, Ralf Schlüter, Hermann Ney arXiv_AI arXiv_AI Gradient_Descent PDF
2021-05-29 Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network Hengrong Lan, Juze Zhang, Changchun Yang, Fei Gao arXiv_AI arXiv_AI Reconstruction Gradient_Descent Sparse Regularization Pose Detection PDF
2021-05-28 STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone arXiv_CV arXiv_CV Gradient_Descent Optimization Pose PDF
2021-05-28 Improving Generalization in Mountain Car Through the Partitioned Parameterized Policy Approach via Quasi-Stochastic Gradient Descent Caleb M. Bowyer arXiv_AI arXiv_AI Gradient_Descent Reinforcement_Learning Optimization PDF
2021-05-25 Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications Lukas Mosser, Ehsan Zabihi Naeini arXiv_CV arXiv_CV Gradient_Descent Face Quantitative Deep_Learning Detection CNN Inference Prediction PDF
2021-05-24 2nd-order Updates with 1st-order Complexity Michael F. Zimmer arXiv_RO arXiv_RO Gradient_Descent PDF
2021-05-21 Automatic calibration of time of flight based non-line-of-sight reconstruction Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar arXiv_CV arXiv_CV Reconstruction Gradient_Descent Regularization Pose Detection Object_Detection PDF
2021-05-21 Variational Quantum Classifiers Through the Lens of the Hessian Pinaki Sen, Amandeep Singh Bhatia arXiv_CV arXiv_CV Gradient_Descent Optimization Deep_Learning VQA QA PDF
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
2021-05-13 MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks Jun Shu, Yanwen Zhu, Qian Zhao, Zongben Xu, Deyu Meng arXiv_CV arXiv_CV Gradient_Descent Text_Classification Optimization Pose Classification 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
2021-03-19 Path Length Bounds for Gradient Descent and Flow Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas arXiv_AI arXiv_AI Gradient_Descent PDF
2021-03-19 Learned Threshold Pruning Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort arXiv_CV arXiv_CV Gradient_Descent Sparse Regularization 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 A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture Dehao Liu, Yan Wang arXiv_CV arXiv_CV Gradient_Descent Pose 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 Convergence and Sample Complexity of SGD in GANs Vasilis Kontonis, Sihan Liu, Christos Tzamos arXiv_CV arXiv_CV Gradient_Descent Optimization Adversarial Pose GAN 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
2020-11-19 Effective, Efficient and Robust Neural Architecture Search Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang arXiv_CV arXiv_CV NAS Gradient_Descent Optimization Adversarial Pose Classification 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