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
Towards Better Understanding Attribution Methods
CVPR 2022
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
ICML 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning
NeurIPS 2022
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
NeurIPS 2022
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
NeurIPS 2022
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
JMLR 2022
Transformers from an Optimization Perspective
NeurIPS 2022
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
NeurIPS 2022
Truncation Sampling as Language Model Desmoothing
EMNLP 2022
Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime
NeurIPS 2022
Uncertainty Modeling in Generative Compressed Sensing
ICML 2022
Understanding and Leveraging Overparameterization in Recursive Value Estimation
ICLR 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers
NeurIPS 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
NeurIPS 2022
Understanding Uncertainty Maps in Vision With Statistical Testing
CVPR 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
NeurIPS 2022
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
ICML 2022
Vanishing Curvature in Randomly Initialized Deep ReLU Networks
AISTATS 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
AAAI 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
NeurIPS 2022
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
ICLR 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization
NeurIPS 2022
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
NeurIPS 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
NeurIPS 2022