conftrace_

gradient descent

1144 papers

Explore in graph

Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

On the non-universality of deep learning: quantifying the cost of symmetry NIPS 2022
Projective Manifold Gradient Layer for Deep Rotation Regression CVPR 2022
Optimization-Based Separations for Neural Networks COLT 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022
AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022
Globally Convergent Policy Search for Output Estimation NIPS 2022
Symmetry Teleportation for Accelerated Optimization NIPS 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training AAAI 2022
On the difficulty of learning chaotic dynamics with RNNs NIPS 2022
How to Learn when Data Gradually Reacts to Your Model AISTATS 2022
Implicit Bias of Linear Equivariant Networks ICML 2022
A Minimal Model for Compositional Generalization on gSCAN EMNLP 2022
Equivariant Priors for compressed sensing with unknown orientation ICML 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective ICML 2022
Cost Ensemble with Gradient Selecting for GANs IJCAI 2022
Meta-learning via Language Model In-context Tuning ACL 2022
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022
COLA: Consistent Learning with Opponent-Learning Awareness ICML 2022
Implicit Bias of the Step Size in Linear Diagonal Neural Networks ICML 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022
Meta Approach to Data Augmentation Optimization WACV 2022
Contextual Gradient Scaling for Few-Shot Learning WACV 2022