Fast AutoAugment

1 May 2019

Papers citing "Fast AutoAugment"

34 / 134 papers shown

Title
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation Ju Xu Mengzhang Li Zhanxing Zhu MedIm 15 72 0 07 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 127 1,286 0 03 Oct 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado Reed Sean L. Metzger A. Srinivas Trevor Darrell Kurt Keutzer SSL 27 49 0 16 Sep 2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL VLM 21 58 0 26 Aug 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization Yu-Ting Chang Qiaosong Wang Wei-Chih Hung Robinson Piramuthu Yi-Hsuan Tsai Ming-Hsuan Yang UQCV WSOL 22 34 0 03 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
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 32 7 0 11 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 59 600 0 18 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Entropic gradient descent algorithms and wide flat minima Fabrizio Pittorino C. Lucibello Christoph Feinauer Gabriele Perugini Carlo Baldassi Elizaveta Demyanenko R. Zecchina ODL MLT 35 33 0 14 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 22 12 0 05 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 87 956 0 11 May 2020
Improving 3D Object Detection through Progressive Population Based Augmentation Shuyang Cheng Zhaoqi Leng E. D. Cubuk Barret Zoph Chunyan Bai ... Vijay Vasudevan Congcong Li Quoc V. Le Jonathon Shlens Dragomir Anguelov 3DPC 20 74 0 02 Apr 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 19 58 0 31 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation L. Liu Jiangning Zhang Ruifei He Yong Liu Yabiao Wang Ying Tai Donghao Luo Chengjie Wang Jilin Li Feiyue Huang 30 175 0 29 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 Mar 2020
DHOG: Deep Hierarchical Object Grouping L. N. Darlow Amos Storkey 13 7 0 13 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 19 98 0 10 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 33 107 0 08 Mar 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 21 134 0 25 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 22 145 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 27 84 0 21 Feb 2020
Machine-Learning-Based Diagnostics of EEG Pathology Lukas A. W. Gemein R. Schirrmeister P. Chrabaszcz Daniel Wilson Joschka Boedecker A. Schulze-Bonhage Frank Hutter T. Ball 22 153 0 11 Feb 2020
Learning Test-time Augmentation for Content-based Image Retrieval Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes 24 6 0 05 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 30 48 0 22 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 50 23 0 16 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 120 3,425 0 30 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 25 74 0 27 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 27 1,423 0 02 Aug 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 100 2,372 0 13 Jun 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 26 379 0 28 Feb 2019