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1905.03177
Cited By
Does Data Augmentation Lead to Positive Margin?
International Conference on Machine Learning (ICML), 2019
8 May 2019
Shashank Rajput
Zhili Feng
Zachary B. Charles
Po-Ling Loh
Dimitris Papailiopoulos
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Papers citing
"Does Data Augmentation Lead to Positive Margin?"
27 / 27 papers shown
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Italian National Conference on Sensors (INS), 2024
Yaoyao Zhu
Xiuding Cai
Xueyao Wang
Xiaoqing Chen
Yu Yao
Zhongliang Fu
MedIm
342
7
0
10 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
International Conference on Learning Representations (ICLR), 2024
Muthuraman Chidambaram
Rong Ge
AAML
312
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
251
28
0
28 Sep 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
370
16
0
17 Mar 2023
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
236
1
0
03 Mar 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
International Conference on Machine Learning (ICML), 2022
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
274
12
0
24 Oct 2022
Data-Efficient Augmentation for Training Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Tian Yu Liu
Baharan Mirzasoleiman
229
8
0
15 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
International Conference on Learning Representations (ICLR), 2022
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
286
51
0
12 Oct 2022
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting
Rui Wang
Robin Walters
Rose Yu
177
18
0
19 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation
Knowledge Discovery and Data Mining (KDD), 2022
Haohan Wang
Zeyi Huang
Xindi Wu
Eric P. Xing
OOD
134
16
0
04 Jun 2022
Data Augmentation as Feature Manipulation
International Conference on Machine Learning (ICML), 2022
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
MLT
197
16
0
03 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
163
20
0
24 Feb 2022
A Survey of Data Augmentation Approaches for NLP
Findings (Findings), 2021
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
686
916
0
07 May 2021
Recent Advances in Large Margin Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yiwen Guo
Changshui Zhang
AAML
AI4CE
288
19
0
25 Mar 2021
Data augmentation and image understanding
Alex Hernandez-Garcia
158
6
0
28 Dec 2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI Conference on Artificial Intelligence (AAAI), 2020
Minjin Kim
Young-geun Kim
Dongha Kim
Yongdai Kim
M. Paik
204
0
0
04 Dec 2020
Squared
ℓ
2
\ell_2
ℓ
2
Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations
Haohan Wang
Zeyi Huang
Xindi Wu
Eric Xing
149
2
0
25 Nov 2020
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin
Yi Sun
223
19
0
21 Oct 2020
WeMix: How to Better Utilize Data Augmentation
Yi Tian Xu
Asaf Noy
Ming Lin
Qi Qian
Hao Li
Rong Jin
181
18
0
03 Oct 2020
On the Generalization Effects of Linear Transformations in Data Augmentation
International Conference on Machine Learning (ICML), 2020
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
300
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
125
60
0
31 Mar 2020
Extracting robust and accurate features via a robust information bottleneck
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Ankit Pensia
Varun Jog
Po-Ling Loh
AAML
142
23
0
15 Oct 2019
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen
Edgar Dobriban
Jane Lee
FedML
254
38
0
25 Jul 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training
German Conference on Pattern Recognition (DAGM), 2019
Jan Laermann
Wojciech Samek
Nils Strodthoff
OOD
138
15
0
03 Jun 2019
Implicit Rugosity Regularization via Data Augmentation
Daniel LeJeune
Randall Balestriero
Hamid Javadi
Richard G. Baraniuk
211
4
0
28 May 2019
Convergence and Margin of Adversarial Training on Separable Data
Zachary B. Charles
Shashank Rajput
S. Wright
Dimitris Papailiopoulos
AAML
131
17
0
22 May 2019
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
247
158
0
11 Jun 2018
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