Co-occurring keywords · papers mentioning both
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