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relu network

201 papers

RELU

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