Per-Example Gradient Regularization Improves Learning Signals from Noisy Data

31 March 2023

Papers citing "Per-Example Gradient Regularization Improves Learning Signals from Noisy Data"

6 / 6 papers shown

Title
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 44 5 0 30 May 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 43 9 0 06 May 2024
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? Zixiang Chen Junkai Zhang Yiwen Kou Xiangning Chen Cho-Jui Hsieh Quanquan Gu 36 13 0 11 Oct 2023
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data Xuran Meng Difan Zou Yuan Cao MLT 29 8 0 03 Oct 2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 40 7 0 24 Jun 2023
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 57 31 0 27 Sep 2022