How Does Mixup Help With Robustness and Generalization?

9 October 2020

Papers citing "How Does Mixup Help With Robustness and Generalization?"

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Title
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 56 0 0 20 Feb 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 141 0 0 07 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 178 2 0 25 Sep 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data Hao Miao Yan Zhao Chenjuan Guo Bin Yang Kai Zheng Feiteng Huang Jiandong Xie Christian S. Jensen AI4TS CLL 44 30 0 23 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization Yuhang Li Xin Dong Chen Chen Jingtao Li Yuxin Wen Michael Spranger Lingjuan Lyu DiffM 30 4 0 28 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 30 0 0 10 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng Vardan Papyan AAML UQCV 44 5 0 09 Feb 2024
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 31 0 0 22 Sep 2023
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise Justin Tittelfitz 31 0 0 04 Aug 2023
Towards Generalizable Deepfake Detection by Primary Region Regularization Harry Cheng Yangyang Guo Tianyi Wang Liqiang Nie Mohan S. Kankanhalli 50 0 0 24 Jul 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 24 10 0 12 Jun 2023
Spot keywords from very noisy and mixed speech Ying Shi Dong Wang Lantian Li Jiqing Han Shi Yin 33 4 0 28 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 30 90 0 19 May 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei Chen Shuicheng Yan CLL TTA 37 3 0 13 Apr 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 44 34 0 19 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 34 1 0 09 Dec 2022
Augmenting Knowledge Transfer across Graphs Yuzhen Mao Jianhui Sun Dawei Zhou 32 1 0 09 Dec 2022
Towards Generalized Open Information Extraction Yu Bowen Zhenyu Zhang Jingyang Li Haiyang Yu Tingwen Liu Jianguo Sun Yongbin Li Bin Wang 37 1 0 29 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 44 46 0 25 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 26 6 0 07 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 334 28 0 04 Nov 2022
When does mixup promote local linearity in learned representations? Arslan Chaudhry A. Menon Andreas Veit Sadeep Jayasumana Srikumar Ramalingam Surinder Kumar 28 1 0 28 Oct 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 38 7 0 27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 35 4 0 27 Oct 2022
Decoupled Mixup for Generalized Visual Recognition Haozhe Liu Wentian Zhang Jinheng Xie Haoqian Wu Bing Li Ziqi Zhang Yuexiang Li Yawen Huang Guohao Li Yefeng Zheng 22 1 0 26 Oct 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 11 8 0 24 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Jaehui Hwang Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 32 1 0 20 Oct 2022
Transformers Learn Shortcuts to Automata Bingbin Liu Jordan T. Ash Surbhi Goel A. Krishnamurthy Cyril Zhang OffRL LRM 46 156 0 19 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 38 26 0 10 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 31 8 0 06 Oct 2022
Mixup for Test-Time Training Bochao Zhang Rui Shao Jingda Du Pc Yuen TTA 22 1 0 04 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 56 34 0 19 Sep 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 16 4 0 17 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 Jun 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 32 3 0 16 May 2022
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound Claudio Ferrari Mark Niklas Muller Nikola Jovanović Martin Vechev 30 82 0 30 Apr 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 29 3 0 22 Apr 2022
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization Zhengqi Gao Sucheng Ren Zihui Xue Siting Li Hang Zhao 24 3 0 05 Apr 2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set Roxana Daneshjou Kailas Vodrahalli R. Novoa Melissa Jenkins Weixin Liang ... Rachna Sahasrabudhe Johan A. C. Allerup Utako Okata-Karigane James Zou A. Chiou 56 217 0 15 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 29 47 0 11 Mar 2022
Contrastive-mixup learning for improved speaker verification Xin Zhang Minho Jin R. Cheng Ruirui Li Eunjung Han A. Stolcke AAML SSL 25 10 0 22 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo-wen Li 20 10 0 03 Feb 2022
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime Rui Zhang Shihua Zhang TDI 27 21 0 15 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 29 51 0 09 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021