AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 256 papers shown

Title
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 23 0 07 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 35 20 0 28 Feb 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 6 6 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 26 5 0 22 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 19 13 0 01 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 24 10 0 30 Jan 2023
CADA-GAN: Context-Aware GAN with Data Augmentation Sofie Daniels Jiugeng Sun Jiaqing Xie 28 0 0 21 Jan 2023
Efficient Activation Function Optimization through Surrogate Modeling G. Bingham Risto Miikkulainen 16 2 0 13 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 13 24 0 31 Dec 2022
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 10 1 0 27 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 18 72 0 09 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 21 1 0 09 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 6 4 0 05 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 17 6 0 29 Nov 2022
Teaching Structured Vision&Language Concepts to Vision&Language Models Sivan Doveh Assaf Arbelle Sivan Harary Rameswar Panda Roei Herzig ... Donghyun Kim Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 48 70 0 21 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 32 1 0 21 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 20 129 0 19 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 21 60 0 17 Nov 2022
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization Chengpeng Chen Zichao Guo Haien Zeng Pengfei Xiong Jian Dong 16 37 0 11 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 13 4 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 15 2 0 09 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 25 13 0 02 Nov 2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations Zhaoqi Leng Guowang Li Chenxi Liu E. D. Cubuk Pei Sun Tong He Drago Anguelov Mingxing Tan 3DPC 33 9 0 24 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 21 35 0 12 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 15 28 0 05 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Chenglin Yang Siyuan Qiao Qihang Yu Xiaoding Yuan Yukun Zhu Alan Yuille Hartwig Adam Liang-Chieh Chen ViT MoE 24 58 0 04 Oct 2022
Augmentation Backdoors J. Rance Yiren Zhao Ilia Shumailov Robert D. Mullins AAML SILM 38 7 0 29 Sep 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 18 10 0 29 Sep 2022
Effective Vision Transformer Training: A Data-Centric Perspective Benjia Zhou Pichao Wang Jun Wan Yan-Ni Liang Fan Wang 24 5 0 29 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 30 113 0 24 Aug 2022
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization Gelei Xu Yawen Wu Jingtong Hu Yiyu Shi FedML 17 2 0 23 Aug 2022
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation Wentao Jiang Sheng Jin Wentao Liu Chao Qian Ping Luo Sishuo Liu ViT 30 23 0 16 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 22 10 0 12 Aug 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 18 0 0 26 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 19 136 0 21 Jul 2022
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification Hyungtae Lee Sungmin Eum H. Kwon VLM 15 4 0 20 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 29 71 0 20 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 8 66 0 18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 22 15 0 14 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models Madeline Chantry Schiappa Naman Biyani Prudvi Kamtam Shruti Vyas Hamid Palangi Vibhav Vineet Y. S. Rawat AAML 24 24 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 29 41 0 04 Jul 2022
When Does Re-initialization Work? Sheheryar Zaidi Tudor Berariu Hyunjik Kim J. Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu 30 10 0 20 Jun 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 14 4 0 17 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 25 3 0 25 May 2022
Vision Transformers in 2022: An Update on Tiny ImageNet Ethan Huynh ViT 26 11 0 21 May 2022
Masterful: A Training Platform for Computer Vision Models S. Wookey Yaoshiang Ho Thomas D. Rikert Juan David Gil Lopez Juan Manuel Munoz Beancur ... Ray Tawil Aaron Sabin Jack Lynch Travis Harper Nikhil Gajendrakumar VLM 18 1 0 21 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022