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Awesome-Mix

A curated list of awesome Mix
https://github.com/ChengtaiCao/Awesome-Mix

Last synced: 1 day ago
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Methodology
- Mixup-based
  - Mixup -- ICLR 2018 - cifar10)]
  - BC Learning -- ICLR 2018 - tokyo/bc_learning_sound)]
  - SamplePairing -- Arxiv 2018
  - Manifold Mixup -- ICML 2019
  - AlignMixup -- CVPR 2022
  - NFM -- ICLR 2022
  - AdaMixUp -- AAAI 2019
  - MetaMixUp -- TNNLS 2021
  - AutoMix -- ECCV 2022 - AI/openmixup)]
  - CAMixup -- ICLR 2021
  - Nonlinear Mixup -- AAAI 2020
  - AMP -- EMNLP 2021 - SmallIsAllYourNeed/Mixup-AMP)]
  - DM -- Arxiv 2022
  - Remix -- ECCV 2022
  - LADA -- EMNLP 2020 - SALT/LADA)]
  - Local Mixup -- Arxiv 2022 - baena/Local-Mixup)]
  - Pani -- Arxiv 2019
  - GIF -- Arxiv 2021
  - MWh -- ICIG 2021
  - AutoMix -- ECCV 2020
  - RegMix -- Arxiv 2021
  - HypMix -- EMNLP 2021 - lab/hypmix-emnlp)]
  - DMix -- ACL 2022 - lab/DMix-ACL)]
  - SAMix -- Arxiv 2021
  - GenLabel -- ICML 2022 - Madison-Lee-Lab/GenLabel_official)]
  - CSANMT -- ACL 2022
  - RegMixup -- NIPS 2022
  - SuperMix -- CVPR 2021
  - Superpixel-Mix -- BMVC 2021
  - StyleMix -- CVPR 2021
  - Mixstyle -- ICLR 2021 - release)]
  - MoEx -- CVPR 2021
  - Mixup-with-AUM-and-SM -- ACL 2022 - p/MixUp-Guided-by-AUM-and-Saliency-Map)]
  - TokenMixup -- Arxiv 2022
  - SciMix -- Arxiv 2022
  - BatchMixup -- IJCNLP 2021
  - K-Mixup -- Arxiv 2021
  - MixMo -- CVPR 2021 - pytorch)]
  - DMixup \& DCutmix -- Arxiv 2021
  - PixMix -- CVPR 2022
  - NFM -- ICLR 2022
  - TokenMixup -- Arxiv 2022
  - RegMix -- Arxiv 2021
- Cutmix-based
  - Cutmix -- ICCV 2019 - PyTorch)]
  - MixdedExample -- WACV 2019
  - RICAP -- ACML 2018 - ricap)]
  - Attentive Cutmix -- ICASSP 2020
  - FocusMix -- ICTC 2020
  - TransMix -- CVPR 2022
  - TL-Align -- Arxiv 2021 - Align)]
  - SaliencyMix -- ILCR 2021
  - Puzzle Mix -- ICML 2020 - mllab/PuzzleMix)]
  - SSMix -- ACL 2021
  - SnapMix -- AAAI 2021 - Huang/SnapMix)]
  - Attribute Mix -- VCIP 2020
  - ResizeMix -- Arxiv 2020 - macos-bench)]
  - Saliency Grafting -- AAAI 2022
  - Co-Mixup -- ICLR 2021 - mllab/Co-Mixup)]
  - RecursiveMix -- Arxiv 2022 - research/RecursiveMix)]
  - SmoothMix -- CVPR 2020 - jeong/smoothmix)]
  - HMix \& GMix -- Arxiv 2022 - ai/hmix-gmix)]
  - PatchUp -- AAAI 2022 - lab/PatchUp)]
  - TokenMix -- ECCV 2022 - X/TokenMix)]
  - ScoreMix -- CVPR 2022
  - GridMix -- Pattern Recognition 2021
  - PatchMix -- BMWC 2021
  - ChessMix -- SIBGRAPI 2021
- Beyond Mixup \& Cutmix
MixDA Applications
- Semi-Supervised Learning
  - ICT -- IJCAI 2019
  - MixMatch -- NIPS 2019 - research/mixmatch)]
  - ReMixMatch -- Arxiv 2019 - research/remixmatch)]
  - DivideMix -- ICLR 2020
  - CowMix/CowOut -- Arxiv 2020 - research/google-research/tree/master/milking_cowmask)]
  - MixPUL -- Arxiv 2020 - ache/MixPUL)]
  - P<sup>3</sup>Mix -- ICLR 2022
  - ReMixMatch -- Arxiv 2019 - research/remixmatch)]
  - DivideMix -- ICLR 2020
  - CowMix/CowOut -- Arxiv 2020 - research/google-research/tree/master/milking_cowmask)]
  - MixPUL -- Arxiv 2020 - ache/MixPUL)]
  - ICT -- IJCAI 2019
- Contrastive Learning
  - MixCo -- Arxiv 2022 - Gihun/MixCo-Mixup-Contrast)]
  - Core-tuning -- NIPS 2021 - tuning)]
  - Feature Transformation -- ICCV 2021 - Visualizing-Feature-Transformation)]
  - Mochi -- NIPS 2020
  - Comix -- NIPS 2021
  - MixSiam -- Arxiv 2021
  - Un-Mix -- AAAI 2022 - Mix)]
  - ScaleMix -- CVPR 2022 - siam)]
  - BSIM -- Arxiv 2020
  - i-Mix -- ICLR 2021
  - MCL -- PRL 2022
  - CLIM -- BMWC 2020
  - SDMP -- CVPR 2022
  - Similarity Mixup -- CVPR 2022
  - ProGC-Mix -- ICML
- Metric Learning
  - Metrix -- ICLR 2022 - iclr)]
  - Embedding Expansion -- CVPR 2020 - expansion)]
  - Metrix -- ICLR 2022 - iclr)]
- Generative Models
  - VarMixup -- Arxiv 2020
  - Shot VAE -- AAAI 2021 - VAE)]
  - AAE -- ICPR 2018
  - VarMixup -- Arxiv 2020
  - ACAI -- ICLR 2019 - research/acai)]
  - AMR -- NIPS 2019 - beckham/amr)]
- Domain Adaption
  - VMT -- Arxiv 2019
  - VMT -- Arxiv 2019
  - IIMT -- Arxiv 2020
  - DM-ADA -- AAAI 2020
  - DMRL -- ECCV 2020 - Mixup-Regularized-Learning-for-Adversarial-Domain-Adaptation)]
  - SLM -- NIPS 2021 - Label-Mix-SLM-PDA)]
  - DM-ADA -- AAAI 2020
- Natural Language Processing
  - WordMixup & SenMixup -- Arxiv 2019
  - MixText -- ACL 2020 - SALT/MixText)]
  - Calibrated-BERT-Fine-Tuning -- EMNLP 2020 - Kong/Calibrated-BERT-Fine-Tuning)]
  - WordMixup & SenMixup -- Arxiv 2019
  - Mixup-Transformer -- COLING 2020
  - TreeMix -- NAALC 2022
  - MixText -- ACL 2020 - SALT/MixText)]
  - SeqMix -- EMNLP 2020
  - SeqMix -- EMNLP 2020 - zhang/SeqMix)]
  - AdvAug -- ACL 2020
  - STEMM -- ACL 2022
  - MixDiversity -- EMNLP 2021
  - XMixup -- ICLR 2022 - Mixup)]
  - mXEncDec -- ACL 2022
- Adversarial Training
  - AVmixup -- CVPR 2020
  - AMDA ACL/IJNCLP 2021
  - M-TLAT -- ECCV 2020
  - AOM -- Arxiv 2021
  - MixACM -- NIPS 2021
  - MI -- ICLR 2020 - Inference)]
  - Mixup-SSAT -- Arxiv 2022
- Graph Neural Networks
- Federated Learning
- Other Applications
  - PointMix -- ECCV 2020 - chen/PointMixup)]
  - PA-AUG -- IROS 2021 - aug.pytorch)]
  - RSMix -- CVPR 2021
  - CMC -- ICML 2022
Explainability Analysis of MixDA
- Vicinal Risk Minimization
  - VRM -- NeurIPS 2000
- Model Regularization
  - Regularization -- Arxiv 2020
  - Regularization -- IEEE Access 2018 - mixup)]
  - Regularization -- ICLR 2021
  - Regularization -- Arxiv 2022 - ai/hmix-gmix)]
- Uncertainty \& Calibration
  - Uncertainty \& Calibration -- ICML 2022
  - Uncertainty \& Calibration -- NIPS 2019

Categories

MixDA Applications 78 Methodology 78 Explainability Analysis of MixDA 7

Sub Categories

Mixup-based 43 Cutmix-based 24 Contrastive Learning 15 Natural Language Processing 14 Semi-Supervised Learning 12 Beyond Mixup \& Cutmix 11 Adversarial Training 7 Domain Adaption 7 Graph Neural Networks 7 Generative Models 6 Other Applications 4 Model Regularization 4 Metric Learning 3 Federated Learning 3 Uncertainty \& Calibration 2 Vicinal Risk Minimization 1