conftrace_

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

Neural Networks with Small Weights and Depth-Separation Barriers NIPS 2020
The phase diagram of approximation rates for deep neural networks NIPS 2020
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks NIPS 2020
Hierarchical Verification for Adversarial Robustness ICML 2020
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension ICML 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models AISTATS 2020
Reverse-engineering deep ReLU networks ICML 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks COLT 2020
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? IJCAI 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NIPS 2020
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry NIPS 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NIPS 2020
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NIPS 2020
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation ICML 2019
Beyond the Single Neuron Convex Barrier for Neural Network Certification NIPS 2019
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes NIPS 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Gradient Dynamics of Shallow Univariate ReLU Networks NIPS 2019
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks NIPS 2019