AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

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Title
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chia-Ju Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency Zhipeng Luo Zhongang Cai Changqing Zhou Gong-Duo Zhang Haiyu Zhao Shuai Yi Shijian Lu Hongsheng Li Shanghang Zhang Ziwei Liu 3DPC 27 84 0 23 Jul 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation Mingkai Zheng Shan You Fei Wang Chao Qian Changshui Zhang Xiaogang Wang Chang Xu 23 113 0 20 Jul 2021
Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss Hao Wang Euijoon Ahn Jinman Kim 29 46 0 16 Jul 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 20 753 0 28 Jun 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 32 132 0 21 Jun 2021
DeepLab2: A TensorFlow Library for Deep Labeling Mark Weber Huiyu Wang Siyuan Qiao Jun Xie Maxwell D. Collins ... Laura Leal-Taixe Alan Yuille Florian Schroff Hartwig Adam Liang-Chieh Chen VLM 27 45 0 17 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 20 38 0 16 Jun 2021
Space-time Mixing Attention for Video Transformer Adrian Bulat Juan-Manuel Perez-Rua Swathikiran Sudhakaran Brais Martínez Georgios Tzimiropoulos ViT 30 124 0 10 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 23 25 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 33 83 0 08 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 29 8 0 08 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 14 78 0 01 Jun 2021
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition Junxiao Shen John J. Dudley Per Ola Kristensson SLR GAN 33 23 0 27 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks Jiahang Wang Sheng Jin Wentao Liu Weizhong Liu Chao Qian Ping Luo AAML 11 56 0 13 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 39 799 0 07 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 277 2,606 0 04 May 2021
ConTNet: Why not use convolution and transformer at the same time? Haotian Yan Zhe Li Weijian Li Changhu Wang Ming Wu Chuang Zhang ViT 20 76 0 27 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 32 65 0 09 Apr 2021
AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou Xiaojie Jin Xiaochen Lian Linjie Yang Yujing Xue Qibin Hou Jiashi Feng 26 10 0 22 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning Mandela Patrick Yuki M. Asano Bernie Huang Ishan Misra Florian Metze Joao Henriques Andrea Vedaldi AI4TS 29 33 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
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 37 375 0 14 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 29 298 0 13 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 36 269 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 108 0 01 Mar 2021
Siamese Labels Auxiliary Learning Wenrui Gan Zhulin Liu Chong Chen Tong Zhang 19 1 0 27 Feb 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
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 155 44 0 16 Feb 2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search Guanting Liu Yujie Zhong Sheng Guo Matthew R. Scott Weilin Huang AI4CE 21 2 0 11 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation Hongxiao Wang Hao Zheng Jianxu Chen Lin Yang Yizhe Zhang Danny Chen MedIm 28 4 0 17 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020
Composite Adversarial Attacks Xiaofeng Mao YueFeng Chen Shuhui Wang Hang Su Yuan He Hui Xue AAML 33 48 0 10 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
Scaling Wide Residual Networks for Panoptic Segmentation Liang-Chieh Chen Huiyu Wang Siyuan Qiao SSeg 27 47 0 23 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 33 32 0 20 Nov 2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels Hai-Tao Zheng Ruiyang Liu Zihao Zhang Ning Ding Ying Shen Li Tao Haitao Zheng 21 0 0 17 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 33 10 0 12 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification Oren Nuriel Sagie Benaim Lior Wolf 28 88 0 09 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 324 0 07 Oct 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? Shayne Longpre Yu Wang Christopher DuBois ViT 19 83 0 05 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 110 1,278 0 03 Oct 2020
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes Samiul Alam Tahsin Reasat Asif Sushmit Sadi Mohammad Siddiquee Fuad Rahman Mahady Hasan Ahmed Imtiaz Humayun 10 21 0 01 Oct 2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection Yutong Bai Angtian Wang Adam Kortylewski Alan Yuille 32 14 0 29 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 28 63 0 17 Sep 2020