Co-occurring keywords · papers mentioning both
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