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
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Papers
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NeurIPS 2022
Size and depth of monotone neural networks: interpolation and approximation
NeurIPS 2022
Sketching based Representations for Robust Image Classification with Provable Guarantees
NeurIPS 2022
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions
ACL 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
ICML 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization
NeurIPS 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
NeurIPS 2022
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
NeurIPS 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NeurIPS 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
ICML 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022
The Architectural Bottleneck Principle
EMNLP 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
NeurIPS 2022
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning
AAAI 2022
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
ICLR 2022
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks
COLT 2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
NeurIPS 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
ICML 2022
Theoretically Provable Spiking Neural Networks
NeurIPS 2022
The Pitfalls of Regularization in Off-Policy TD Learning
NeurIPS 2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
NeurIPS 2022
The Sample Complexity of One-Hidden-Layer Neural Networks
NeurIPS 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
ICML 2022
Topology-aware Generalization of Decentralized SGD
ICML 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
NeurIPS 2022