DADA: Differentiable Automatic Data Augmentation

8 March 2020

Yonggang Li

Guosheng Hu

Yongtao Wang

Timothy M. Hospedales

N. Robertson

Yongxin Yang

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Papers citing "DADA: Differentiable Automatic Data Augmentation"

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IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Agents Eric Xue Zeyi Huang Yuyang Ji Haohan Wang 83 0 0 25 Feb 2025
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization Xiliang Yang Shenyang Deng Shicong Liu Yuanchi Suo Wing.W.Y NG Jianjun Zhang 40 0 0 15 Feb 2025
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing Khawar Islam M. Zaheer Arif Mahmood Karthik Nandakumar Naveed Akhtar DiffM 85 2 0 03 Dec 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 21 0 0 19 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 37 1 0 10 Sep 2024
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning Changlin Li Jiawei Zhang Sihao Lin Zongxin Yang Junwei Liang Xiaodan Liang Xiaojun Chang VLM 33 0 0 06 Sep 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 46 3 0 01 May 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam Muhammad Zaigham Zaheer Arif Mahmood Karthik Nandakumar DiffM 37 28 0 05 Apr 2024
Dense Vision Transformer Compression with Few Samples Hanxiao Zhang Yifan Zhou Guo-Hua Wang Jianxin Wu ViT VLM 39 1 0 27 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 46 48 0 18 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 39 1 0 15 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 45 12 0 07 Dec 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 45 3 0 10 Oct 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Dinesh Manocha 35 15 0 09 Sep 2023
Distributionally Robust Cross Subject EEG Decoding Tiehang Duan Zhenyi Wang Gianfranco Doretto Fang Li Cui Tao Don Adjeroh 10 3 0 19 Aug 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 41 4 0 16 Jun 2023
Unsupervised augmentation optimization for few-shot medical image segmentation Quan Quan Shang Zhao Qingsong Yao Heqin Zhu S. Kevin Zhou 29 1 0 08 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study Muzhou Yu Linfeng Zhang Kaisheng Ma 23 2 0 22 May 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 42 6 0 28 Apr 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 52 11 0 23 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 22 1 0 20 Apr 2023
Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo Wei Cheng Yingheng Wang Dongkuan Xu Jingchao Ni ... Xuchao Zhang Yanchi Liu Yuncong Chen Haifeng Chen Xiang Zhang AI4TS 26 55 0 21 Mar 2023
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization Mathieu Dagréou Thomas Moreau Samuel Vaiter Pierre Ablin 39 12 0 17 Feb 2023
Tackling Data Bias in Painting Classification with Style Transfer Mridula Vijendran Frederick W. B. Li Hubert P. H. Shum 33 3 0 06 Jan 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 43 5 0 09 Dec 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 35 5 0 13 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 27 5 0 13 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 26 10 0 29 Sep 2022
Augmentation Learning for Semi-Supervised Classification Tim Frommknecht Pedro Alves Zipf Quanfu Fan Nina Shvetsova Hilde Kuehne 25 2 0 03 Aug 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 26 39 0 14 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 0 10 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 40 10 0 31 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 50 344 0 13 May 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 28 46 0 28 Mar 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation Xueyi Liu Xiaomeng Xu Anyi Rao Chuang Gan L. Yi 3DPC 24 14 0 13 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 27 8 0 04 Feb 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 41 9 0 06 Dec 2021
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 22 5 0 18 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 51 15 0 16 Nov 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 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
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 23 61 0 21 Jul 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 19 37 0 25 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions Scott Mahan Henry Kvinge T. Doster OOD 11 3 0 07 Jun 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 33 33 0 09 Apr 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