Fast AutoAugment

1 May 2019

Papers citing "Fast AutoAugment"

50 / 134 papers shown

Title
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 44 319 0 06 Apr 2022
Evolving Neural Selection with Adaptive Regularization Li Ding Lee Spector ODL 25 4 0 04 Apr 2022
Deep AutoAugment Yu Zheng Zikai Zhang Shen Yan Mi Zhang ViT 23 27 0 11 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 36 75 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 26 48 0 25 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 31 17 0 24 Feb 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 32 8 0 04 Feb 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 92 81 0 13 Jan 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 39 26 0 11 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 35 211 0 10 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 19 67 0 04 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 34 26 0 16 Dec 2021
On Automatic Data Augmentation for 3D Point Cloud Classification Wanyue Zhang Xun Xu Fayao Liu Le Zhang Chuan-Sheng Foo 3DPC 33 4 0 11 Dec 2021
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Youngjune Lee Oh Joon Kwon Haejun Lee Joonyoung Kim Kangwook Lee Kee-Eung Kim 16 9 0 07 Dec 2021
Dynamic Data Augmentation with Gating Networks for Time Series Recognition Daisuke Oba Shinnosuke Matsuo Brian Kenji Iwana AI4TS 26 1 0 05 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 19 13 0 31 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 411 0 12 Oct 2021
Point Cloud Augmentation with Weighted Local Transformations S. Kim S. Lee Dasol Hwang Jaewon Lee Seong Jae Hwang Hyunwoo J. Kim 3DPC 23 60 0 11 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 62 10 0 13 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 38 31 0 01 Sep 2021
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning Zhiwu Qing Ziyuan Huang Shiwei Zhang Mingqian Tang Changxin Gao M. Ang Ronglei Ji Nong Sang 45 3 0 24 Aug 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 43 16 0 23 Jul 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 30 61 0 21 Jul 2021
Fine-Grained AutoAugmentation for Multi-Label Classification Y. Wang Hesen Chen Fangyi Zhang Yaohua Wang Xiuyu Sun Ming Lin Hao Li 32 2 0 12 Jul 2021
Contrastive Multimodal Fusion with TupleInfoNCE Yunze Liu Qingnan Fan Shanghang Zhang Hao Dong Thomas Funkhouser Li Yi 31 66 0 06 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 26 164 0 29 Jun 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 39 6 0 15 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 45 78 0 13 Jun 2021
Contrastive Learning with Stronger Augmentations Tianlin Li Guo-Jun Qi CLL 22 221 0 15 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 33 33 0 09 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 42 324 0 31 Mar 2021
Scale-aware Automatic Augmentation for Object Detection Yukang Chen Yanwei Li Tao Kong Lu Qi Ruihang Chu Lei Li Jiaya Jia 35 49 0 31 Mar 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 22 18 0 30 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen Cihang Xie Mingxing Tan Li Zhang Cho-Jui Hsieh Boqing Gong AAML 34 72 0 23 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 24 277 0 18 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 12 19 0 16 Mar 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation Elizabeth Fons Paula Dawson Xiao-Jun Zeng J. Keane Alexandros Iosifidis AI4TS 23 23 0 16 Feb 2021
In-Loop Meta-Learning with Gradient-Alignment Reward Samuel G. Müller André Biedenkapp Frank Hutter OOD 28 2 0 05 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Mixup Without Hesitation Hao Yu Huanyu Wang Jianxin Wu VLM 33 21 0 12 Jan 2021
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification Shuwei Shen Mengjuan Xu Fan Zhang Pengfei Shao Honghong Liu ... Chi Zhang Peng Liu Zhihong Zhang Peng Yao Ronald X. Xu 25 10 0 07 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Joint Search of Data Augmentation Policies and Network Architectures Taiga Kashima Yoshihiro Yamada Shunta Saito 3DPC 19 5 0 17 Dec 2020
A Comprehensive Study of Deep Video Action Recognition Yi Zhu Xinyu Li Chunhui Liu Mohammadreza Zolfaghari Yuanjun Xiong Chongruo Wu Zhi-Li Zhang Joseph Tighe R. Manmatha Mu Li VLM AI4TS 38 185 0 11 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
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 19 16 0 02 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020