Co-occurring keywords · papers mentioning both
Papers
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
JMLR 2023
Ridges, Neural Networks, and the Radon Transform
JMLR 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
NeurIPS 2023
Sparsity-aware generalization theory for deep neural networks
COLT 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
NeurIPS 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
ICLR 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NeurIPS 2023
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
NeurIPS 2023
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
ICML 2022
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
NeurIPS 2022
Are All Linear Regions Created Equal?
AISTATS 2022
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
AISTATS 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis
ICML 2022
Deep Network Approximation in Terms of Intrinsic Parameters
ICML 2022
Deep ReLU Networks Preserve Expected Length
ICLR 2022
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
ICLR 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators
COLT 2022
Estimation and Comparison of Linear Regions for ReLU Networks
IJCAI 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
ICML 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
NeurIPS 2022
Globally Injective ReLU Networks
JMLR 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
NeurIPS 2022
Gradient Methods Provably Converge to Non-Robust Networks
NeurIPS 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
NeurIPS 2022