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relu network

201 papers

RELU

Papers

Exactly Computing the Local Lipschitz Constant of ReLU Networks NeurIPS 2020 Finite Depth and Width Corrections to the Neural Tangent Kernel ICLR 2020 Functional vs. parametric equivalence of ReLU networks ICLR 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Hierarchical Verification for Adversarial Robustness ICML 2020 Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? IJCAI 2020 Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations NeurIPS 2020 Neural Networks with Small Weights and Depth-Separation Barriers NeurIPS 2020 Neural tangent kernels, transportation mappings, and universal approximation ICLR 2020 Oblique Decision Trees from Derivatives of ReLU Networks ICLR 2020 Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NeurIPS 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020 Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks ICLR 2020 Provable robustness against all adversarial l_p-perturbations for p≥ 1 ICLR 2020 Reverse-engineering deep ReLU networks ICML 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 Span Recovery for Deep Neural Networks with Applications to Input Obfuscation ICLR 2020 Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension ICML 2020 The phase diagram of approximation rates for deep neural networks NeurIPS 2020 Towards neural networks that provably know when they don't know ICLR 2020 A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NeurIPS 2019 Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality ICLR 2019 A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019 Beyond the Single Neuron Convex Barrier for Neural Network Certification NeurIPS 2019