conftrace_

relu network

143 papers

Explore in graph

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

Estimation and Comparison of Linear Regions for ReLU Networks IJCAI 2022
Vanishing Curvature in Randomly Initialized Deep ReLU Networks AISTATS 2022
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022
Neural Network Architecture Beyond Width and Depth NIPS 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks NIPS 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022
Width is Less Important than Depth in ReLU Neural Networks COLT 2022
Deep Network Approximation in Terms of Intrinsic Parameters ICML 2022
On the Symmetries of Deep Learning Models and their Internal Representations NIPS 2022
Are All Linear Regions Created Equal? AISTATS 2022
Gradient Methods Provably Converge to Non-Robust Networks NIPS 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NIPS 2022
On Margin Maximization in Linear and ReLU Networks NIPS 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning AAAI 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
Globally Injective ReLU Networks JMLR 2022
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming AISTATS 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent JMLR 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers NIPS 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NIPS 2022
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks NIPS 2022
Quantile regression with ReLU Networks: Estimators and minimax rates JMLR 2022