MaxUp: A Simple Way to Improve Generalization of Neural Network Training

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

20 February 2020

Papers citing "MaxUp: A Simple Way to Improve Generalization of Neural Network Training"

17 / 17 papers shown

Title
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 28 2 0 06 Feb 2023
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 37 41 0 04 Jul 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 13 4 0 17 Jun 2022
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training Van-Nhiem Tran Chi-En Huang Shenxiu Liu Kaicheng Yang Timothy Ko Yung-Hui Li SSL 25 0 0 24 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 27 26 0 10 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 43 24 0 19 Apr 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 27 106 0 26 Oct 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation Yijun Yang Shujun Wang Lei Zhu Lequan Yu 37 10 0 13 Sep 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks Kiran Karra C. Ashcraft Cash Costello AAML 27 0 0 09 Sep 2021
Vision Transformers with Patch Diversification Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu ViT 42 62 0 26 Apr 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 39 6 0 26 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 18 270 0 18 Dec 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 33 113 0 23 Nov 2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff Eitan Borgnia Valeriia Cherepanova Liam H. Fowl Amin Ghiasi Jonas Geiping Micah Goldblum Tom Goldstein Arjun Gupta AAML 6 127 0 18 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 107 6,655 0 13 Jun 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016