On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias

18 May 2022

Gal Vardi

Papers citing "On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias"

21 / 21 papers shown

Title
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context Spencer Frei Gal Vardi MLT 21 3 0 02 Oct 2024
Symmetry & Critical Points Yossi Arjevani 14 2 0 26 Aug 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data Nikita Tsoy Nikola Konstantinov 19 4 0 27 May 2024
Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Target Jiajie Zhao Zhiwei Bai Yaoyu Zhang 19 0 0 22 May 2024
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks Akshay Kumar Jarvis D. Haupt ODL 17 6 0 14 Feb 2024
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning Nikhil Ghosh Spencer Frei Wooseok Ha Ting Yu MLT 13 3 0 06 Aug 2023
Noisy Interpolation Learning with Shallow Univariate ReLU Networks Nirmit Joshi Gal Vardi Nathan Srebro 16 8 0 28 Jul 2023
From Tempered to Benign Overfitting in ReLU Neural Networks Guy Kornowski Gilad Yehudai Ohad Shamir 18 12 0 24 May 2023
Leveraging the two timescale regime to demonstrate convergence of neural networks P. Marion Raphael Berthier 26 3 0 19 Apr 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 22 22 0 02 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 19 12 0 02 Mar 2023
Penalising the biases in norm regularisation enforces sparsity Etienne Boursier Nicolas Flammarion 20 14 0 02 Mar 2023
Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms Lai Tian Anthony Man-Cho So 25 2 0 23 Feb 2023
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think Christian H. X. Ali Mehmeti-Göpel Jan Disselhoff 8 5 0 30 Nov 2022
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro Wei Hu MLT 11 38 0 13 Oct 2022
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 19 72 0 26 Aug 2022
Implicit Regularization Towards Rank Minimization in ReLU Networks Nadav Timor Gal Vardi Ohad Shamir 13 49 0 30 Jan 2022
On Margin Maximization in Linear and ReLU Networks Gal Vardi Ohad Shamir Nathan Srebro 32 27 0 06 Oct 2021
Ridgeless Interpolation with Shallow ReLU Networks in $1D$ is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions Boris Hanin MLT 25 9 0 27 Sep 2021
Continuous vs. Discrete Optimization of Deep Neural Networks Omer Elkabetz Nadav Cohen 43 44 0 14 Jul 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 67 44 0 04 Feb 2021