Co-occurring keywords · papers mentioning both
Papers
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
NeurIPS 2023
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
ICLR 2023
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
ICLR 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
COLT 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
L4DC 2023
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
ICLR 2023
From Tempered to Benign Overfitting in ReLU Neural Networks
NeurIPS 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data
NeurIPS 2023
Implicit Regularization Towards Rank Minimization in ReLU Networks
ALT 2023
Investigating how ReLU-networks encode symmetries
NeurIPS 2023
Learning a 1-layer conditional generative model in total variation
NeurIPS 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
NeurIPS 2023
Learning Narrow One-Hidden-Layer ReLU Networks
COLT 2023
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Maximal Initial Learning Rates in Deep ReLU Networks
ICML 2023
Memorization Capacity of Neural Networks with Conditional Computation
ICLR 2023
Model-Based Control with Sparse Neural Dynamics
NeurIPS 2023
Norm-based Generalization Bounds for Sparse Neural Networks
NeurIPS 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
ICML 2023
Optimal Sets and Solution Paths of ReLU Networks
ICML 2023
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
NeurIPS 2023
Penalising the biases in norm regularisation enforces sparsity
NeurIPS 2023
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
ICML 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
NeurIPS 2023
Quasi-Equivalence between Width and Depth of Neural Networks
JMLR 2023