Theory
1,239 papers
Papers per year
1
4
1
3
4
6
2
11
32
50
72
104
144
246
178
229
110
42
'10
'15
'20
'25
Papers
Exact learning dynamics of deep linear networks with prior knowledge
NeurIPS 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
EMNLP 2022
Exploring Mode Connectivity for Pre-trained Language Models
EMNLP 2022
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
ICML 2022
Exponential Separations in Symmetric Neural Networks
NeurIPS 2022
ExSum: From Local Explanations to Model Understanding
NAACL 2022
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
ICML 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NeurIPS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
AISTATS 2022
Fast Finite Width Neural Tangent Kernel
ICML 2022
Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity
NeurIPS 2022
Foolish Crowds Support Benign Overfitting
JMLR 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
NeurIPS 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
ICML 2022
GoTube: Scalable Statistical Verification of Continuous-Depth Models
AAAI 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
NeurIPS 2022
Gradient Methods Provably Converge to Non-Robust Networks
NeurIPS 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
NeurIPS 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
NeurIPS 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
NeurIPS 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
NeurIPS 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
AAAI 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
NeurIPS 2022