two-layer network

Asymptotics of feature learning in two-layer networks after one gradient-step ICML 2024 Benign Overfitting in Adversarial Training of Neural Networks ICML 2024 CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks NeurIPS 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data ICML 2024 Wide Two-Layer Networks can Learn from Adversarial Perturbations NeurIPS 2024 From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks COLT 2023 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021 Learning Constraints for Structured Prediction Using Rectifier Networks ACL 2020 Limitations of Lazy Training of Two-layers Neural Network NeurIPS 2019 Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NeurIPS 2018 Learning Polynomials with Neural Networks ICML 2014 Convex Two-Layer Modeling NeurIPS 2013