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gradient descent

1,421 papers

GD

Papers

Gradient Descent: The Ultimate Optimizer NeurIPS 2022 Gradient Methods Provably Converge to Non-Robust Networks NeurIPS 2022 HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging CVPR 2022 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NeurIPS 2022 Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm AACL 2022 How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective ICML 2022 I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022 Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials NeurIPS 2022 Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent NeurIPS 2022 Implicit Bias of Linear Equivariant Networks ICML 2022 Implicit Bias of the Step Size in Linear Diagonal Neural Networks ICML 2022 Implicit Parameter-free Online Learning with Truncated Linear Models ALT 2022 Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets ALT 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022 Injecting Logical Constraints into Neural Networks via Straight-Through Estimators ICML 2022 Iterated Vector Fields and Conservatism, with Applications to Federated Learning ALT 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect ICLR 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Learning a neural Pareto manifold extractor with constraints UAI 2022 Learning a Single Neuron for Non-monotonic Activation Functions AISTATS 2022 Learning a Single Neuron with Adversarial Label Noise via Gradient Descent COLT 2022 Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers NeurIPS 2022