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2005.00695
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On the Generalization Effects of Linear Transformations in Data Augmentation
2 May 2020
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
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Papers citing
"On the Generalization Effects of Linear Transformations in Data Augmentation"
49 / 49 papers shown
Title
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
Max Weltevrede
Moritz A. Zanger
M. Spaan
Wendelin Bohmer
OffRL
FedML
91
0
0
22 May 2025
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
72
1
0
03 Oct 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
138
3
0
09 Sep 2024
Learning Tree-Structured Composition of Data Augmentation
Dongyue Li
Kailai Chen
P. Radivojac
Hongyang R. Zhang
120
1
0
26 Aug 2024
First-Order Manifold Data Augmentation for Regression Learning
Ilya Kaufman
Omri Azencot
52
4
0
16 Jun 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
Seonghyeon Hwang
Minsu Kim
Steven Euijong Whang
NoLa
90
3
0
28 May 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
Muthuraman Chidambaram
Rong Ge
AAML
114
0
0
10 Feb 2024
MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition
Jiamin Xie
John H. L. Hansen
16
3
0
27 Oct 2023
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
Haoyang Liu
Yufei Kuang
Jie Wang
Xijun Li
Yongdong Zhang
Feng Wu
AAML
82
7
0
22 Oct 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Bin Lu
Xiaoying Gan
Ze Zhao
Shiyu Liang
Luoyi Fu
Xinbing Wang
Cheng Zhou
111
8
0
16 Aug 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Dongyue Li
Haotian Ju
Aneesh Sharma
Hongyang R. Zhang
147
8
0
24 Jun 2023
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
96
31
0
27 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation
K. Kuriyama
58
1
0
04 May 2023
Towards Understanding How Data Augmentation Works with Imbalanced Data
Damien Dablain
Nitesh Chawla
AI4CE
65
2
0
12 Apr 2023
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
Hee Suk Yoon
Eunseop Yoon
John Harvill
Sunjae Yoon
M. Hasegawa-Johnson
Chang D. Yoo
63
4
0
14 Dec 2022
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo Zhao
Caiwen Ding
Yongbin Li
Dongkuan Xu
DD
139
66
0
12 Dec 2022
The Curious Case of Benign Memorization
Sotiris Anagnostidis
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
AAML
132
10
0
25 Oct 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
118
10
0
24 Oct 2022
Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu
Baharan Mirzasoleiman
67
7
0
15 Oct 2022
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Chi-Heng Lin
Chiraag Kaushik
Eva L. Dyer
Vidya Muthukumar
103
31
0
10 Oct 2022
Universal Adaptive Data Augmentation
Xiaogang Xu
Hengshuang Zhao
21
6
0
14 Jul 2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Jiawei Yang
Hanbo Chen
Yu Zhao
Fan Yang
Yao Zhang
Lei He
Jianhua Yao
VLM
45
42
0
05 Jul 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju
Dongyue Li
Hongyang R. Zhang
134
30
0
06 Jun 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
BDL
AAML
128
9
0
27 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang
Zhewei Xu
Pedro A. Szekely
Muhao Chen
LMTD
96
48
0
08 May 2022
Data Augmentation as Feature Manipulation
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
MLT
71
16
0
03 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
84
17
0
24 Feb 2022
Contrastive-mixup learning for improved speaker verification
Xin Zhang
Minho Jin
R. Cheng
Ruirui Li
Eunjung Han
A. Stolcke
AAML
SSL
58
11
0
22 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
130
83
0
17 Feb 2022
Weight Expansion: A New Perspective on Dropout and Generalization
Gao Jin
Xinping Yi
Pengfei Yang
Lijun Zhang
S. Schewe
Xiaowei Huang
92
5
0
23 Jan 2022
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
Chen Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
128
161
0
24 Nov 2021
Noisy Feature Mixup
Soon Hoe Lim
N. Benjamin Erichson
Francisco Utrera
Winnie Xu
Michael W. Mahoney
AAML
103
38
0
05 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
219
284
0
05 Oct 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
125
42
0
07 Aug 2021
RegMix: Data Mixing Augmentation for Regression
Seonghyeon Hwang
Steven Euijong Whang
UQCV
57
9
0
07 Jun 2021
Direct Differentiable Augmentation Search
Aoming Liu
Zehao Huang
Zhiwu Huang
Naiyan Wang
102
34
0
09 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
124
347
0
31 Mar 2021
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Zirui Liu
Haifeng Jin
Ting-Hsiang Wang
Kaixiong Zhou
Helen Zhou
53
23
0
26 Mar 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun
A. Kirillov
Saining Xie
101
98
0
22 Feb 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
Elizabeth Fons
Paula Dawson
Xiao-Jun Zeng
J. Keane
Alexandros Iosifidis
AI4TS
62
23
0
16 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation
Hanwang Zhang
Zhong Cao
Ziang Yan
Changshui Zhang
112
26
0
06 Feb 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
74
8
0
19 Jan 2021
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
Weikai Li
Chuanxing Geng
Songcan Chen
62
14
0
24 Dec 2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
Minjin Kim
Young-geun Kim
Dongha Kim
Yongdai Kim
M. Paik
36
0
0
04 Dec 2020
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin
Yi Sun
86
16
0
21 Oct 2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Laurel J. Orr
Megan Leszczynski
Simran Arora
Sen Wu
Neel Guha
Xiao Ling
Christopher Ré
218
48
0
20 Oct 2020
An Algorithm for Learning Smaller Representations of Models With Scarce Data
Adrian de Wynter
67
2
0
15 Oct 2020
WeMix: How to Better Utilize Data Augmentation
Yi Tian Xu
Asaf Noy
Ming Lin
Qi Qian
Hao Li
Rong Jin
84
16
0
03 Oct 2020
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
75
34
0
09 Apr 2020
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