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relu network

143 papers

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Also known as

RELU

Co-occurring keywords

neural network (6616) gradient descent (1144) neural network optimization (1293) gradient flow (142) neural network verification (106) function approximation (319) adversarial robustness (1341) deep neural network (1803) implicit bia (107) generalization bound (652)

Papers

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations ICCV 2025
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks NIPS 2024
Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks ALT 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Topological obstruction to the training of shallow ReLU neural networks NIPS 2024
Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024
Critically Assessing the State of the Art in Neural Network Verification JMLR 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks NIPS 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024
Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials COLT 2024
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision ICML 2023
The Expressive Power of Tuning Only the Normalization Layers COLT 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NIPS 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023
Sparsity-aware generalization theory for deep neural networks COLT 2023