A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

21 August 2022

Papers citing "A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective"

31 / 31 papers shown

Title
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds? Miao Zhang Sherif Abdulatif Benedikt Loesch Marco Altmann Bin Yang 59 0 0 04 Mar 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data Chungpa Lee Jongho Im Joseph H.T. Kim 36 0 0 03 Mar 2025
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 100 0 0 07 Oct 2024
Effects of Common Regularization Techniques on Open-Set Recognition Zachary Rabin Jim Davis Benjamin Lewis Matthew Scherreik BDL 19 0 0 03 Sep 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu Huixin Zhang Shubham Parashar Shu Kong 29 2 0 17 Jun 2024
Recommendation of data-free class-incremental learning algorithms by simulating future data Eva Feillet Adrian Daniel Popescu C´eline Hudelot 41 0 0 26 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 18 0 0 10 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng V. Papyan AAML UQCV 38 5 0 09 Feb 2024
Source-free Domain Adaptive Object Detection in Remote Sensing Images Weixing Liu Jun Liu X. Su Han Nie Bin Luo 27 8 0 31 Jan 2024
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios Swarna Kamlam Ravindran Carlo Tomasi 26 0 0 25 Nov 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 56 0 0 12 Aug 2023
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method Wen-Chieh Liang Youzhi Liang Jianguo Jia 11 25 0 05 Aug 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 34 1 0 18 Jul 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries Junsoo Oh Chulee Yun 17 5 0 01 Jun 2023
Improved Probabilistic Image-Text Representations Sanghyuk Chun VLM 33 26 0 29 May 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 29 3 0 09 Apr 2023
Knowledge Distillation in Vision Transformers: A Critical Review Gousia Habib Tausifa Jan Saleem Brejesh Lall 23 15 0 04 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 18 28 0 21 Dec 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 326 28 0 04 Nov 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 4 7 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 26 1 0 20 Oct 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features Gwantae Kim D. Han Hanseok Ko 44 42 0 06 Aug 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 64 77 0 25 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 298 3,693 0 11 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 197 176 0 05 Feb 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 395 142 0 13 Jan 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 109 80 0 13 Oct 2020
Dropout: Explicit Forms and Capacity Control R. Arora Peter L. Bartlett Poorya Mianjy Nathan Srebro 61 37 0 06 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016