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On the Generalization Effects of Linear Transformations in Data Augmentation

2 May 2020

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