Theory
1,239 papers
Papers per year
1
4
1
3
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6
2
11
32
50
72
104
144
246
178
229
110
42
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Papers
Local Identifiability of Deep ReLU Neural Networks: the Theory
NeurIPS 2022
Locally Sparse Neural Networks for Tabular Biomedical Data
ICML 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
NeurIPS 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
JMLR 2022
Measures of Information Reflect Memorization Patterns
NeurIPS 2022
Measuring Representational Robustness of Neural Networks Through Shared Invariances
ICML 2022
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
NeurIPS 2022
Minimizing Control for Credit Assignment with Strong Feedback
ICML 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
ICML 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
NeurIPS 2022
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
ICLR 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
NeurIPS 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
NeurIPS 2022
Neural Network Architecture Beyond Width and Depth
NeurIPS 2022
Neural Networks can Learn Representations with Gradient Descent
COLT 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
ICML 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
NeurIPS 2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
ICML 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
ICML 2022
Non-Gaussian Tensor Programs
NeurIPS 2022
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation
ACL 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
NeurIPS 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization
NeurIPS 2022
On Isotropy Calibration of Transformer Models
ACL 2022
On Measuring Excess Capacity in Neural Networks
NeurIPS 2022