gradient descent

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022 DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training AAAI 2022 Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization ICLR 2022 Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering CVPR 2022 Distributed Online Convex Optimization with Compressed Communication NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 Domain Adversarial Training: A Game Perspective ICLR 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features ICLR 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Exploiting Invariance in Training Deep Neural Networks AAAI 2022 Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework CVPR 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022 Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems UAI 2022 GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022 Generalized Federated Learning via Sharpness Aware Minimization ICML 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Globally Gated Deep Linear Networks NeurIPS 2022 Gradient Based Clustering ICML 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NeurIPS 2022 Gradient Descent on Neurons and its Link to Approximate Second-order Optimization ICML 2022