Adversarial AutoAugment

24 December 2019

Papers citing "Adversarial AutoAugment"

30 / 130 papers shown

Title
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing 21 2 0 25 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 25 113 0 23 Nov 2020
Adversarial Refinement Network for Human Motion Prediction Xianjin Chao Yanrui Bin Wenqing Chu Xuan Cao Yanhao Ge Chengjie Wang Jilin Li Feiyue Huang Howard Leung 3DH GAN 12 7 0 23 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 6 5 0 05 Nov 2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation Ting-Yao Hu A. Shrivastava Jen-Hao Rick Chang H. Koppula Stefan Braun Kyuyeon Hwang Ozlem Kalinli Oncel Tuzel 9 16 0 02 Nov 2020
An Algorithm for Learning Smaller Representations of Models With Scarce Data Adrian de Wynter 33 2 0 15 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 13 9 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 25 64 0 14 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming-hui Sun Luping Zhou Junjie Yan Wanli Ouyang 13 48 0 30 Sep 2020
Encoding Robustness to Image Style via Adversarial Feature Perturbations Manli Shu Zuxuan Wu Micah Goldblum Tom Goldstein AAML OOD 14 18 0 18 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 35 108 0 04 Aug 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 26 34 0 14 Jun 2020
Hypernetwork-Based Augmentation Chih-Yang Chen Che-Han Chang 17 3 0 11 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 14 136 0 04 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 48 653 0 01 Jun 2020
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 21 75 0 02 May 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 17 58 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 18 62 0 25 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 14 108 0 02 Mar 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 29 632 0 27 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 17 145 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 17 84 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 14 56 0 20 Feb 2020
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance Xiaoyun Li Zhenxun Zhuang Francesco Orabona 27 18 0 12 Feb 2020
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 28 564 0 21 Nov 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
IRLAS: Inverse Reinforcement Learning for Architecture Search Minghao Guo Zhaobai Zhong Wei Yu Wu Dahua Lin Junjie Yan 3DV 37 37 0 13 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016