Gradient_Descent
Gradient_Descent
-
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari, Michaël Perrot
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Classification
PDF
-
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
-
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
-
Laziness, Barren Plateau, and Noise in Machine Learning
Junyu Liu, Zexi Lin, Liang Jiang
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
PDF
-
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
-
Debugging using Orthogonal Gradient Descent
Narsimha Chilkuri, Chris Eliasmith
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
MBGDT:Robust Mini-Batch Gradient Descent
Hanming Wang, Haozheng Luo, Yue Wang
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
Yunwen Lei
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Regularization
Knowledge
Quantitative
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang, Kevin Ellis
arXiv_AI
arXiv_AI
Gradient_Descent
Action
Inference
PDF
-
Analysis of Branch Specialization and its Application in Image Decomposition
Jonathan Brokman, Guy Gilboa
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Face
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin, Marios Kountouris, David Gesbert
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
PDF
-
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
-
Avoiding Barren Plateaus with Classical Deep Neural Networks
Lucas Friedrich, Jonas Maziero
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
VQA
QA
PDF
-
Active Labeling: Streaming Stochastic Gradients
Vivien Cabannes, Francis Bach, Vianney Perchet, Alessandro Rudi
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Adversarial joint attacks on legged robots
Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Adversarial
PDF
-
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
Unsupervised
Gradient_Descent
Image_Retrieval
Action
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Large Scale Transfer Learning for Differentially Private Image Classification
Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
arXiv_CV
arXiv_CV
Transfer_Learning
Gradient_Descent
Adversarial
Classification
Deep_Learning
Image_Classification
PDF
-
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
-
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
-
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
-
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
-
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
-
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
arXiv_CV
arXiv_CV
Gradient_Descent
Restoration
Optimization
Pose
PDF
-
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
-
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
-
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
-
The Tree Loss: Improving Generalization with Many Classes
Yujie Wang, Mike Izbicki
arXiv_AI
arXiv_AI
Gradient_Descent
Classification
PDF
-
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
-
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
-
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
-
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
-
Position-wise optimizer: A nature-inspired optimization algorithm
Amir Valizadeh
arXiv_CL
arXiv_CL
Gradient_Descent
Optimization
PDF
-
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
-
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
-
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
Gradient_Descent
Optimization
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
Wildfire risk forecast: An optimizable fire danger index
Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Prediction
PDF
-
Conjugate Gradient Method for Generative Adversarial Networks
Hiroki Naganuma, Hideaki Iiduka
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Adversarial
Pose
GAN
PDF
-
ARCS: Accurate Rotation and Correspondence Search
Liangzu Peng, Manolis C. Tsakiris, Rene Vidal
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
COLA: Consistent Learning with Opponent-Learning Awareness
Timon Willi, Johannes Treutlein, Alistair Letcher, Jakob Foerster
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma, Lexing Ying
arXiv_AI
arXiv_AI
Gradient_Descent
GAN
PDF
-
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
-
Domain Adversarial Training: A Game Perspective
David Acuna, Marc T Law, Guojun Zhang, Sanja Fidler
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
PDF
-
Equivariance Regularization for Image Reconstruction
Junqi Tang
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Optimization
Sparse
Regularization
Pose
PDF
-
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
-
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
-
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing
Hongming Li, Shujian Yu, Jose C. Principe
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
PDF
-
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
-
Distributed Learning With Sparsified Gradient Differences
Yicheng Chen, Rick S. Blum, Martin Takac, Brian M. Sadler
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Continual Learning with Recursive Gradient Optimization
Hao Liu, Huaping Liu
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Knowledge
Pose
Classification
PDF
-
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
-
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
-
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
-
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
-
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
-
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller
arXiv_CV
arXiv_CV
Gradient_Descent
PDF
-
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
-
There is a Singularity in the Loss Landscape
Mark Lowell
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Reverse image filtering using total derivative approximation and accelerated gradient descent
Fernando J. Galetto, Guang Deng
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
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
-
Shrub Ensembles for Online Classification
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Classification
PDF
-
Differentiable Generalised Predictive Coding
André Ofner, Sebastian Stober
arXiv_AI
arXiv_AI
Gradient_Descent
Sketch
Prediction
PDF
-
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
-
SaDe: Learning Models that Provably Satisfy Domain Constraints
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
arXiv_AI
arXiv_AI
Gradient_Descent
Regularization
Action
PDF
-
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
-
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
-
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
-
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
-
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
-
BarrierNet: A Safety-Guaranteed Layer for Neural Networks
Wei Xiao, Ramin Hasani, Xiao Li, Daniela Rus
arXiv_RO
arXiv_RO
Gradient_Descent
3D
PDF
-
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
-
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
-
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
-
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
-
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
-
Network Generation with Differential Privacy
Xu Zheng, Nicholas McCarthy, Jer Hayes
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
GAN
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
A Meta-Learned Neuron model for Continual Learning
Rodrigue Siry
arXiv_AI
arXiv_AI
Gradient_Descent
Knowledge
Inference
PDF
-
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
-
Free Probability, Newton lilypads and Jacobians of neural networks
Reda Chhaibi, Tariq Daouda, Ezechiel Kahn
arXiv_AI
arXiv_AI
Gradient_Descent
Action
PDF
-
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
Yujia Wang, Lu Lin, Jinghui Chen
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
PDF
-
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
-
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
-
DPCOVID: Privacy-Preserving Federated Covid-19 Detection
Trang-Thi Ho, Yennun-Huang
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Pose
Action
Detection
PDF
-
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
-
Towards strong pruning for lottery tickets with non-zero biases
Jonas Fischer, Rebekka Burkholz
arXiv_AI
arXiv_AI
Gradient_Descent
Deep_Learning
PDF
-
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
-
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
-
Explaining generalization in deep learning: progress and fundamental limits
Vaishnavh Nagarajan
arXiv_AI
arXiv_AI
Gradient_Descent
Deep_Learning
PDF
-
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
-
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
-
The AI Triplet: Computational, Conceptual, and Mathematical Representations in AI Education
Maithilee Kunda
arXiv_AI
arXiv_AI
Gradient_Descent
Knowledge
Pose
PDF
-
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
-
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
-
SDR -- Medium Rare with Fast Computations
Robin Scheibler
arXiv_SD
arXiv_SD
Gradient_Descent
Pose
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
On the Implicit Biases of Architecture & Gradient Descent
Jeremy Bernstein, Yisong Yue
arXiv_AI
arXiv_AI
Gradient_Descent
Inference
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Differentiable Surface Triangulation
Marie-Julie Rakotosaona, Noam Aigerman, Niloy Mitra, Maks Ovsjanikov, Paul Guerrero
arXiv_CV
arXiv_CV
Gradient_Descent
3D
Optimization
Face
PDF
-
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
-
A Novel Structured Natural Gradient Descent for Deep Learning
Weihua Liu, Xiabi Liu
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
Deep_Learning
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Robot Localization and Navigation through Predictive Processing using LiDAR
Daniel Burghardt, Pablo Lanillos
arXiv_AI
arXiv_AI
Gradient_Descent
Self-Supervised
Action
Prediction
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Rate distortion comparison of a few gradient quantizers
Tharindu Adikari
arXiv_AI
arXiv_AI
Quantization
Gradient_Descent
PDF
-
D-DARTS: Distributed Differentiable Architecture Search
Alexandre Heuillet, Hedi Tabia, Hichem Arioui, Kamal Youcef-Toumi
arXiv_CV
arXiv_CV
NAS
Gradient_Descent
Pose
PDF
-
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
-
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
-
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
arXiv_CL
arXiv_CL
Transformer
Gradient_Descent
Attention
Inference
PDF
-
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
-
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
-
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
-
DCT2net: an interpretable shallow CNN for image denoising
Sébastien Herbreteau, Charles Kervrann
arXiv_CV
arXiv_CV
Gradient_Descent
3D
Pose
Denoising
CNN
PDF
-
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
-
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
-
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
-
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
-
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
-
Data-informed Deep Optimization
Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
PDF
-
Learning Mixed-Integer Linear Programs from Contextual Examples
Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
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
-
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz, Nadav Cohen
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Deep_Learning
PDF
-
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
-
Tourbillon: a Physically Plausible Neural Architecture
Mohammadamin Tavakoli, Pierre Baldi, Peter Sadowski
arXiv_AI
arXiv_AI
Gradient_Descent
Self-Supervised
Face
Deep_Learning
PDF
-
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
-
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
-
Improving the Algorithm of Deep Learning with Differential Privacy
Mehdi Amian
arXiv_AI
arXiv_AI
Gradient_Descent
RNN
Pose
Classification
Deep_Learning
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Meta-learning for Matrix Factorization without Shared Rows or Columns
Tomoharu Iwata
arXiv_AI
arXiv_AI
Gradient_Descent
Knowledge
Pose
PDF
-
Assessing Generalization of SGD via Disagreement
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
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
-
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
-
Learning and Generalization in Overparameterized Normalizing Flows
Kulin Shah, Amit Deshpande, Navin Goyal
arXiv_AI
arXiv_AI
Unsupervised
Gradient_Descent
PDF
-
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
-
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
-
Non-Gradient Manifold Neural Network
Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
Classification
PDF
-
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
-
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
-
Automated Parking Space Detection Using Convolutional Neural Networks
Julien Nyambal, Richard Klein
arXiv_CV
arXiv_CV
Gradient_Descent
Classification
Detection
CNN
Prediction
PDF
-
Multi-Receiver Online Bayesian Persuasion
Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti
arXiv_AI
arXiv_AI
Gradient_Descent
Adversarial
Face
Action
PDF
-
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
Jiaye Teng, Jianhao Ma, Yang Yuan
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
PDF
-
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
-
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
-
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Jiayi Ma, Yuxin Deng
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
Matching
PDF
-
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand, Amir Joudaki, Francis Bach
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Classification
PDF
-
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
-
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
-
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays
arXiv_RO
arXiv_RO
Gradient_Descent
PDF
-
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
-
Robust Learning via Persistency of Excitation
Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
Relation
PDF
-
Hierarchical Representation Learning for Markov Decision Processes
Lorenzo Steccanella, Simone Totaro, Anders Jonsson
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Represenation_Learning
Knowledge
PDF
-
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
Alexander Matyasko, Lap-Pui Chau
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
Pose
PDF
-
Why does CTC result in peaky behavior?
Albert Zeyer, Ralf Schlüter, Hermann Ney
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
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
-
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
-
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
-
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
-
2nd-order Updates with 1st-order Complexity
Michael F. Zimmer
arXiv_RO
arXiv_RO
Gradient_Descent
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Image Modeling with Deep Convolutional Gaussian Mixture Models
Alexander Gepperth, Benedikt Pfülb
arXiv_CV
arXiv_CV
Gradient_Descent
Image_Generation
Detection
CNN
PDF
-
Few-shot Learning for Topic Modeling
Tomoharu Iwata
arXiv_CL
arXiv_CL
Gradient_Descent
Pose
Few-Shot
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Learning with Neural Tangent Kernels in Near Input Sparsity Time
Amir Zandieh
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Classification
CNN
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Path Length Bounds for Gradient Descent and Flow
Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
Learned Threshold Pruning
Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort
arXiv_CV
arXiv_CV
Gradient_Descent
Sparse
Regularization
PDF
-
Gradient Projection Memory for Continual Learning
Gobinda Saha, Isha Garg, Kaushik Roy
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Quantitative
Classification
Image_Classification
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique
Jeremy Straub
arXiv_AI
arXiv_AI
Gradient_Descent
Relation
Recommendation
PDF
-
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
-
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
-
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
-
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
-
Robust SleepNets
Yigit Alparslan, Edward Kim
arXiv_CV
arXiv_CV
Gradient_Descent
Recognition
Adversarial
Face
Classification
Detection
Face_Recognition
CNN
PDF
-
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
-
Implicit Regularization in Tensor Factorization
Noam Razin, Asaf Maman, Nadav Cohen
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Regularization
Quantitative
Deep_Learning
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering
Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Classification
PDF
-
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
-
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
-
Component Tree Loss Function: Definition and Optimization
Benjamin Perret (LIGM), Jean Cousty (LIGM)
arXiv_CV
arXiv_CV
Image_Caption
Gradient_Descent
Optimization
Pose
PDF
-
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
-
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
-
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
Matt Peng, Banghua Zhu, Jiantao Jiao
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
PDF
-
A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
Kaustubh Yadav
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Deep_Learning
PDF
-
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
-
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
-
Path Optimization for Ground Vehicles in Off-Road Terrain
Timothy Overbye, Srikanth Saripalli
arXiv_RO
arXiv_RO
Gradient_Descent
Optimization
PDF
-
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
-
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
-
The Bayesian Method of Tensor Networks
Erdong Guo, David Draper
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Inference
Prediction
PDF
-
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
-
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
-
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
-
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
-
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
-
Stochastic Gradient Variance Reduction by Solving a Filtering Problem
Xingyi Yang
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Knowledge
Pose
PDF
-
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
-
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
-
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
David M. Bossens, Danesh Tarapore
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Rewriter-Evaluator Framework for Neural Machine Translation
Yangming Li, Kaisheng Yao
arXiv_CL
arXiv_CL
Transformer
Gradient_Descent
Pose
NMT
PDF
-
Kernelized Classification in Deep Networks
Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Classification
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Modelling brain lesion volume in patches with CNN-based Poisson Regression
Kevin Raina
arXiv_CV
arXiv_CV
Segmentation
Gradient_Descent
Medical
PDF
-
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
-
Stable Weight Decay Regularization
Zeke Xie, Issei Sato, Masashi Sugiyama
arXiv_AI
arXiv_AI
Gradient_Descent
Regularization
Pose
Deep_Learning
PDF
-
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
-
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
-
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
-
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
-
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
-
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
-
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Sparse
Pose
Deep_Learning
PDF
-
Stein Variational Model Predictive Control
Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Autonomous
Inference
PDF
-
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
Georgios Kotsalis, Guanghui Lan, Tianjiao Li
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
PDF
-
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach
arXiv_RO
arXiv_RO
Gradient_Descent
Reinforcement_Learning
Adversarial
Pose
Matching
PDF
-
Generative adversarial training of product of policies for robust and adaptive movement primitives
Emmanuel Pignat, Hakan Girgin, Sylvain Calinon
arXiv_RO
arXiv_RO
Gradient_Descent
Adversarial
Pose
PDF
-
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting
Zhaodong Sun
arXiv_CV
arXiv_CV
Gradient_Descent
Inpainting
Super_Resolution
Deep_Learning
Relation
Denoising
PDF
-
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations
Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek
arXiv_AI
arXiv_AI
Gradient_Descent
Relation
PDF
-
Receptive Field Size Optimization with Continuous Time Pooling
Dóra Babicz, Soma Kontár, Márk Pető, András Fülöp, Gergely Szabó, András Horváth
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
CNN
PDF
-
Fast Reinforcement Learning with Incremental Gaussian Mixture Models
Rafael Pinto
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Action
Relation
PDF
-
Deep Autofocus for Synthetic Aperture Sonar
Isaac Gerg, Vishal Monga
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Self-Supervised
Pose
Deep_Learning
PDF
-
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Wei Chen, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong
arXiv_AI
arXiv_AI
Gradient_Descent
Sparse
Pose
Deep_Learning
Inference
PDF
-
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
An Zhao, Krishna Subramani, Paris Smaragdis
arXiv_SD
arXiv_SD
Gradient_Descent
Optimization
PDF
-
Physics-Based Deep Learning for Fiber-Optic Communication Systems
Christian Häger, Henry D. Pfister
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Knowledge
Pose
Deep_Learning
PDF
-
Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang, Aditya Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation
Ali Akbari, Muhammad Awais, Zhen-Hua Feng, Ammarah Farooq, Josef Kittler
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
PDF
-
Phase recovery with Bregman divergences for audio source separation
Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte
arXiv_SD
arXiv_SD
Reconstruction
Gradient_Descent
Enhancement
Speech
Pose
PDF
-
Parameter Norm Growth During Training of Transformers
William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah Smith
arXiv_CL
arXiv_CL
Transformer
Gradient_Descent
PDF
-
Multivariate Gaussian Variational Inference by Natural Gradient Descent
Timothy D. Barfoot
arXiv_RO
arXiv_RO
Gradient_Descent
Sparse
Review
Attention
Inference
PDF
-
What do CNN neurons learn: Visualization & Clustering
Haoyue Dai
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Quantitative
CNN
Prediction
PDF
-
Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
Gustaf Halvardsson, Johanna Peterson, César Soto-Valero, Benoit Baudry
arXiv_AI
arXiv_AI
Transfer_Learning
Gradient_Descent
Optimization
CNN
PDF
-
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha Dvornek, Yifan Ding, Xenophon Papademetris, James S. Duncan
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
Pose
Classification
Deep_Learning
GAN
CNN
Image_Classification
Language_Model
Prediction
PDF
-
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold
Feihu Huang, Shangqian Gao, Heng Huang
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Pose
PDF
-
Explaining Neural Matrix Factorization with Gradient Rollback
Carolin Lawrence, Timo Sztyler, Mathias Niepert
arXiv_AI
arXiv_AI
Embedding
Gradient_Descent
Knowledge
Knowledge_Graph
Pose
Prediction
Recommendation
PDF
-
Continual learning using hash-routed convolutional neural networks
Ahmad Berjaoui
arXiv_AI
arXiv_AI
Unsupervised
Gradient_Descent
Reinforcement_Learning
CNN
PDF
-
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Attention
PDF
-
Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: ASentiment Polarity Classifier for YouTube Commentswith Code-switching between Tamil, Malayalam andEnglish
BalaSundaraRaman Lakshmanan, Sanjeeth Kumar Ravindranath
arXiv_CL
arXiv_CL
Gradient_Descent
RNN
Detection
Sentiment
PDF
-
Best Buddies Registration for Point Clouds
Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes
arXiv_CV
arXiv_CV
Gradient_Descent
Point_Cloud
Sparse
Pose
Matching
PDF
-
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks
Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Deep_Learning
Inference
PDF
-
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
Yufan Zhou, Changyou Chen, Jinhui Xu
arXiv_CV
arXiv_CV
Embedding
Gradient_Descent
Pose
Inference
PDF
-
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation
Pavel Tolmachev, Jonathan H. Manton
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
GAN
PDF
-
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
PDF
-
Implicit Rank-Minimizing Autoencoder
Li Jing, Jure Zbontar, Yann LeCun
arXiv_CV
arXiv_CV
Gradient_Descent
Represenation_Learning
PDF
-
Understanding the Role of Adversarial Regularization in Supervised Learning
Litu Rout
arXiv_CV
arXiv_CV
Gradient_Descent
Regularization
Adversarial
PDF
-
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
Litu Rout
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
Action
GAN
PDF
-
Phase retrieval with Bregman divergences and application to audio signal recovery
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
arXiv_SD
arXiv_SD
Gradient_Descent
Restoration
Pose
PDF
-
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems
Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
arXiv_AI
arXiv_AI
Gradient_Descent
Salient
Adversarial
Pose
PDF
-
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
arXiv_AI
arXiv_AI
Gradient_Descent
Knowledge
PDF
-
Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics
Yanshi Luo, Abdeslam Boularias, Mridul Aanjaneya
arXiv_RO
arXiv_RO
Gradient_Descent
Optimization
Pose
Prediction
PDF
-
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding
arXiv_AI
arXiv_AI
Gradient_Descent
Adversarial
Pose
Autonomous
PDF
-
Contextual Bandits for adapting to changing User preferences over time
Dattaraj Rao
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Action
Prediction
Recommendation
PDF
-
Holistic Filter Pruning for Efficient Deep Neural Networks
Lukas Enderich, Fabian Timm, Wolfram Burgard
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanović
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Optimization
Action
PDF
-
Constrained Labeling for Weakly Supervised Learning
Chidubem Arachie, Bert Huang
arXiv_AI
arXiv_AI
Gradient_Descent
Weakly_Supervised
Pose
Classification
Relation
PDF
-
Learning Functors using Gradient Descent
Bruno Gavranović
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Relation
Attention
GAN
PDF
-
Deforming the Loss Surface to Affect the Behaviour of the Optimizer
Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Pose
Face
Deep_Learning
CNN
PDF
-
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification
Nicolo Colombo, Yang Gao
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Pose
Action
Classification
Deep_Learning
PDF
-
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen
arXiv_CV
arXiv_CV
Gradient_Descent
Adversarial
Pose
Quantitative
Classification
PDF
-
Momentum-based Gradient Methods in Multi-objective Recommender Systems
Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
arXiv_AI
arXiv_AI
Gradient_Descent
Recommendation
PDF
-
Blind Image Restoration with Flow Based Priors
Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah, Markus Gross, Christopher Schroers
arXiv_CV
arXiv_CV
Gradient_Descent
Enhancement
Restoration
Optimization
Regularization
Knowledge
Pose
Image_Enhancement
Denoising
PDF
-
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression
Eunho Koo, Hyungjun Kim
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Prediction
PDF
-
Efficient Projection Algorithms onto the Weighted l1 Ball
Guillaume Perez, Sebastian Ament, Carla Gomes, Michel Barlaud
arXiv_AI
arXiv_AI
Gradient_Descent
Optimization
Sparse
Pose
PDF
-
Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
Deep_Learning
PDF
-
Continuous Color Transfer
Chunzhi Gu, Xuequan Lu, Chao Zhang
arXiv_CV
arXiv_CV
Segmentation
Gradient_Descent
Optimization
Regularization
Pose
Quantitative
Attention
PDF
-
Adversarially Robust Learning via Entropic Regularization
Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
arXiv_CV
arXiv_CV
Gradient_Descent
Regularization
Adversarial
Pose
Classification
PDF
-
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
Hadi Mansourifar, Weidong Shi
arXiv_CV
arXiv_CV
Reconstruction
Face_Detection
Gradient_Descent
Recognition
Pose
Face
Detection
Face_Recognition
PDF
-
Self-Competitive Neural Networks
Iman Saberi, Fathiyeh Faghih
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Adversarial
Pose
Action
Classification
PDF
-
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans
arXiv_SD
arXiv_SD
Gradient_Descent
Pose
CNN
PDF
-
Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton
arXiv_AI
arXiv_AI
Gradient_Descent
Knowledge
Language_Model
Prediction
PDF
-
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Deep_Learning
Denoising
Attention
Medical
CNN
PDF
-
Human Body Model Fitting by Learned Gradient Descent
Jie Song, Xu Chen, Otmar Hilliges
arXiv_CV
arXiv_CV
Gradient_Descent
3D
Optimization
Regularization
Pose
PDF
-
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
arXiv_SD
arXiv_SD
Gradient_Descent
Recognition
Adversarial
PDF
-
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi
arXiv_CV
arXiv_CV
NAS
Segmentation
Gradient_Descent
3D
Optimization
Regularization
Pose
PDF
-
Neural Descent for Visual 3D Human Pose and Shape
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
3D
Self-Supervised
Pose
PDF
-
Three Variants of Differential Privacy: Lossless Conversion and Applications
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar
arXiv_AI
arXiv_AI
Gradient_Descent
Pose
Deep_Learning
Relation
PDF
-
Learned Proximal Networks for Quantitative Susceptibility Mapping
Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl, Xu Li, Jeremias Sulam
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Restoration
Regularization
Pose
Quantitative
Deep_Learning
Medical
CNN
PDF
-
Image segmentation via Cellular Automata
Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agúera y Arcas
arXiv_CV
arXiv_CV
Segmentation
Gradient_Descent
Pose
GAN
PDF
-
Invertible Neural BRDF for Object Inverse Rendering
Zhe Chen, Shohei Nobuhara, Ko Nishino
arXiv_CV
arXiv_CV
Gradient_Descent
PDF
-
Improving End-to-End Speech-to-Intent Classification with Reptile
Yusheng Tian, Philip John Gorinski
arXiv_CL
arXiv_CL
Gradient_Descent
Recognition
Speech
Pose
Classification
Speech_Recognition
Prediction
PDF
-
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger
arXiv_CV
arXiv_CV
Surveillance
Person_Re-identification
Unsupervised
Gradient_Descent
Recognition
Optimization
Pose
Deep_Learning
Re-identification
PDF
-
A Unified Framework of Surrogate Loss by Refactoring and Interpolation
Lanlan Liu, Mingzhe Wang, Jia Deng
arXiv_CV
arXiv_CV
Gradient_Descent
PDF
-
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray
arXiv_CV
arXiv_CV
Gradient_Descent
3D
Optimization
Pose
PDF
-
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets
Hamada A. Nayel
arXiv_CL
arXiv_CL
Gradient_Descent
Optimization
Pose
Detection
PDF
-
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
arXiv_SD
arXiv_SD
Gradient_Descent
Optimization
PDF
-
Economical ensembles with hypernetworks
João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe
arXiv_AI
arXiv_AI
Embedding
Gradient_Descent
Pose
Deep_Learning
Prediction
PDF
-
Deforming the Loss Surface
Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Pose
Face
Deep_Learning
CNN
PDF
-
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
arXiv_CV
arXiv_CV
NAS
Transfer_Learning
Gradient_Descent
Pose
GAN
PDF
-
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent
Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Sparse
Knowledge
Medical
PDF
-
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing
Yajie Xing, Jingbo Wang, Gang Zeng
arXiv_CV
arXiv_CV
Segmentation
Scene_Parsing
Semantic_Segmentation
Gradient_Descent
3D
Pose
Relation
PDF
-
Drinking from a Firehose: Continual Learning with Web-scale Natural Language
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
arXiv_AI
arXiv_AI
Gradient_Descent
Language_Model
PDF
-
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Pose
PDF
-
DeepInit Phase Retrieval
Martin Reiche, Peter Jung
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Pose
Action
PDF
-
Video Object Segmentation with Episodic Graph Memory Networks
Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
arXiv_CV
arXiv_CV
Segmentation
Gradient_Descent
Zero-Shot
Memory_Networks
Knowledge
Pose
Relation
GAN
Prediction
PDF
-
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang, Qing Qu, John Wright
arXiv_CV
arXiv_CV
Gradient_Descent
Optimization
Survey
Prediction
PDF
-
Gradient Descent over Metagrammars for Syntax-Guided Synthesis
Nicolas Chan, Elizabeth Polgreen, Sanjit A. Seshia
arXiv_AI
arXiv_AI
Gradient_Descent
PDF
-
Meta Soft Label Generation for Noisy Labels
Görkem Algan, Ilkay Ulusoy
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh, Marc G. Bellemare
arXiv_AI
arXiv_AI
Gradient_Descent
Reinforcement_Learning
Represenation_Learning
PDF
-
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
arXiv_CV
arXiv_CV
Gradient_Descent
Pose
PDF
-
Kernel Stein Generative Modeling
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
arXiv_CV
arXiv_CV
Gradient_Descent
Regularization
Pose
GAN
Inference
PDF
-
Asynchronous Real-Time Optimization of Footstep Placement andTiming in Bipedal Walking Robots
Digby Chappell, Ke Wang, Petar Kormushev
arXiv_RO
arXiv_RO
Gradient_Descent
Optimization
Action
PDF
-
Learning to Read through Machine Teaching
Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu
arXiv_CL
arXiv_CL
Gradient_Descent
Optimization
Pose
PDF
-
Multiclass Classification with an Ensemble of Binary Classification Deep Networks
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
arXiv_CV
arXiv_CV
Gradient_Descent
Recognition
Pose
Classification
CNN
PDF
-
When and How Can Deep Generative Models be Inverted?
Aviad Aberdam, Dror Simon, Michael Elad
arXiv_CV
arXiv_CV
Gradient_Descent
Sparse
Pose
GAN
PDF
-
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Pose
Quantitative
Deep_Learning
Inference
Prediction
Matching
PDF
-
Traditional and accelerated gradient descent for neural architecture search
Nicolas Garcia Trillos, Felix Morales, Javier Morales
arXiv_AI
arXiv_AI
NAS
Gradient_Descent
Optimization
PDF
-
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Melanie Bernhardt, Valery Vishnevskiy, Richard Rau, Orcun Goksel
arXiv_CV
arXiv_CV
Reconstruction
Gradient_Descent
Optimization
Regularization
Pose
PDF
-
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Lucas Fidon, Sebastien Ourselin, Tom Vercauteren
arXiv_CV
arXiv_CV
Segmentation
Gradient_Descent
Optimization
Pose
Deep_Learning
PDF
-
Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences
Laureline Logiaco, G. Sean Escola
arXiv_AI
arXiv_AI
Gradient_Descent
RNN
PDF
-
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu
arXiv_CV