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Theory

1072 directly classified papers

Papers per year

Papers

Minimizing Control for Credit Assignment with Strong Feedback ICML 2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks CVPR 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022
Towards Better Understanding Attribution Methods CVPR 2022
Efficient Training of Low-Curvature Neural Networks NIPS 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022
Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022
Implicit Bias of Linear Equivariant Networks ICML 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects NIPS 2022
A Spectral Perspective of DNN Robustness to Label Noise AISTATS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NIPS 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ICML 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NIPS 2022
A Fourier Approach to Mixture Learning NIPS 2022
Gradient Methods Provably Converge to Non-Robust Networks NIPS 2022