Regularizing Neural Networks via Adversarial Model Perturbation

10 October 2020

Papers citing "Regularizing Neural Networks via Adversarial Model Perturbation"

22 / 22 papers shown

Title
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning Sunwoo Lee 98 0 0 18 Mar 2025
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 52 0 0 13 Jun 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 38 9 0 06 May 2024
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker Frederick Altrock Benjamin Risse 74 5 0 22 Jan 2024
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 22 2 0 26 Nov 2023
How to escape sharp minima with random perturbations Kwangjun Ahn Ali Jadbabaie S. Sra ODL 22 6 0 25 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 27 6 0 18 May 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 30 31 0 23 Mar 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 26 18 0 29 Jan 2023
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 24 25 0 13 Dec 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 8 15 0 25 Jul 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 24 133 0 13 Jun 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 19 165 0 11 Mar 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning Yang Zhao Hao Zhang Xiuyuan Hu 28 115 0 08 Feb 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks Yang Zhao Hao Zhang 19 1 0 16 Jan 2022
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 19 8 0 16 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 16 24 0 24 Nov 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 35 5 0 01 Oct 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 22 65 0 09 Apr 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,360 0 25 Aug 2014