Does Data Augmentation Lead to Positive Margin?

International Conference on Machine Learning (ICML), 2019

8 May 2019

Dimitris Papailiopoulos

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Papers citing "Does Data Augmentation Lead to Positive Margin?"

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Title
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationItalian National Conference on Sensors (INS), 2024 Yaoyao Zhu Xiuding Cai Xueyao Wang Xiaoqing Chen Yu Yao Zhongliang Fu MedIm 298 7 0 10 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label AugmentationInternational Conference on Learning Representations (ICLR), 2024 Muthuraman Chidambaram Rong Ge AAML 257 2 0 10 Feb 2024
The Trickle-down Impact of Reward (In-)consistency on RLHF Lingfeng Shen Sihao Chen Linfeng Song Lifeng Jin Baolin Peng Haitao Mi Daniel Khashabi Dong Yu 207 28 0 28 Sep 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial RobustnessACM Computing Surveys (ACM Comput. Surv.), 2023 Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 334 14 0 17 Mar 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 225 1 0 03 Mar 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint MixupInternational Conference on Machine Learning (ICML), 2022 Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 238 12 0 24 Oct 2022
Data-Efficient Augmentation for Training Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Tian Yu Liu Baharan Mirzasoleiman 161 8 0 15 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit RegularizationInternational Conference on Learning Representations (ICLR), 2022 Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 264 50 0 12 Oct 2022
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting Rui Wang Robin Walters Rose Yu 155 18 0 19 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data AugmentationKnowledge Discovery and Data Mining (KDD), 2022 Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing OOD 110 16 0 04 Jun 2022
Data Augmentation as Feature ManipulationInternational Conference on Machine Learning (ICML), 2022 Ruoqi Shen Sébastien Bubeck Suriya Gunasekar MLT 149 16 0 03 Mar 2022
Sample Efficiency of Data Augmentation Consistency RegularizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 139 20 0 24 Feb 2022
A Survey of Data Augmentation Approaches for NLPFindings (Findings), 2021 Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 596 899 0 07 May 2021
Recent Advances in Large Margin LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yiwen Guo Changshui Zhang AAML AI4CE 248 18 0 25 Mar 2021
Data augmentation and image understanding Alex Hernandez-Garcia 134 6 0 28 Dec 2020
Kernel-convoluted Deep Neural Networks with Data AugmentationAAAI Conference on Artificial Intelligence (AAAI), 2020 Minjin Kim Young-geun Kim Dongha Kim Yongdai Kim M. Paik 161 0 0 04 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric Xing 117 2 0 25 Nov 2020
How Data Augmentation affects Optimization for Linear Regression Boris Hanin Yi Sun 197 17 0 21 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li Rong Jin 137 18 0 03 Oct 2020
On the Generalization Effects of Linear Transformations in Data AugmentationInternational Conference on Machine Learning (ICML), 2020 Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 273 87 0 02 May 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 121 60 0 31 Mar 2020
Extracting robust and accurate features via a robust information bottleneckIEEE Journal on Selected Areas in Information Theory (JSAIT), 2019 Ankit Pensia Varun Jog Po-Ling Loh AAML 118 23 0 15 Oct 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 195 38 0 25 Jul 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability TrainingGerman Conference on Pattern Recognition (DAGM), 2019 Jan Laermann Wojciech Samek Nils Strodthoff OOD 121 15 0 03 Jun 2019
Implicit Rugosity Regularization via Data Augmentation Daniel LeJeune Randall Balestriero Hamid Javadi Richard G. Baraniuk 182 4 0 28 May 2019
Convergence and Margin of Adversarial Training on Separable Data Zachary B. Charles Shashank Rajput S. Wright Dimitris Papailiopoulos AAML 121 17 0 22 May 2019
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 225 155 0 11 Jun 2018