Generalization and Stability of Interpolating Neural Networks with Minimal Width

18 February 2023

Papers citing "Generalization and Stability of Interpolating Neural Networks with Minimal Width"

9 / 9 papers shown

Title
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 33 0 0 13 Oct 2024
NTK-Guided Few-Shot Class Incremental Learning Jingren Liu Zhong Ji Yanwei Pang Yunlong Yu CLL 34 3 0 19 Mar 2024
Implicit Bias and Fast Convergence Rates for Self-attention Bhavya Vasudeva Puneesh Deora Christos Thrampoulidis 26 13 0 08 Feb 2024
Fine-grained analysis of non-parametric estimation for pairwise learning Junyu Zhou Shuo Huang Han Feng Puyu Wang Ding-Xuan Zhou 37 1 0 31 May 2023
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks Puyu Wang Yunwen Lei Di Wang Yiming Ying Ding-Xuan Zhou MLT 27 3 0 26 May 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data Hossein Taheri Christos Thrampoulidis MLT 16 3 0 22 May 2023
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei Rong Jin Yiming Ying MLT 37 18 0 19 Sep 2022
On Generalization of Decentralized Learning with Separable Data Hossein Taheri Christos Thrampoulidis FedML 27 10 0 15 Sep 2022
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015