Theory
1,239 papers
Papers per year
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4
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3
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6
2
11
32
50
72
104
144
246
178
229
110
42
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Papers
Positional Encoding As Spatial Inductive Bias in GANs
CVPR 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
AAAI 2021
Provable Lipschitz Certification for Generative Models
ICML 2021
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
COLT 2021
Provably Strict Generalisation Benefit for Equivariant Models
ICML 2021
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
ICML 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
AISTATS 2021
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Relative Flatness and Generalization
NeurIPS 2021
Representational aspects of depth and conditioning in normalizing flows
ICML 2021
Representation Costs of Linear Neural Networks: Analysis and Design
NeurIPS 2021
Rethinking the Variational Interpretation of Accelerated Optimization Methods
NeurIPS 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
IJCAI 2021
Revealing the Structure of Deep Neural Networks via Convex Duality
ICML 2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
AAAI 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract)
AAAI 2021
Scalable Verification of Quantized Neural Networks
AAAI 2021
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
NeurIPS 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
NeurIPS 2021
Size and Depth Separation in Approximating Benign Functions with Neural Networks
COLT 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
ICML 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NeurIPS 2021
Stateful ODE-Nets using Basis Function Expansions
NeurIPS 2021
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
ICML 2021
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
ICML 2021