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https://github.com/jarvisWang0903/Awesome-Domain-Adaptation

:sunglasses: A curated list of domain adaptation papers, datasets and other resources.
https://github.com/jarvisWang0903/Awesome-Domain-Adaptation

List: Awesome-Domain-Adaptation

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:sunglasses: A curated list of domain adaptation papers, datasets and other resources.

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README 

        
# Domain Adaptation 



A curated list of domain adaptation papers, tutorials, datasets and other resources.



- [Domain adaptation]()

	- [0.Latest Publications](#0latest-publications)

	- [1.Introduction and Tutorials](#1introduction-and-tutorials)

	- [2.Domain Adaptation Areas and Papers](#2domain-adaptation-areas-and-papers)

	- [3.Datasets and Benchmarks](#3datasets-and-benchmarks)

- [Other novel papers](#4other-novel-papers)

    - [0.Meta Learning]()

    - [1.Life-long Learing]()

    - [3.GAN]()

    - [4.zero / Few-shot Learning]()

    - [5.Multi-task learning]()

    - [6.Representation Learning]()

    - [7.Other Interesting Works]()



- - -



## 0.Latest Publications



**A good website to see the latest arXiv preprints by search: [Domain adaptation](http://arxitics.com/search?q=domain%20adaptation&sort=updated)**



- **Weekly latest papers** 



- 2020/07/11 CVPR-20 Workshop [Batch-level Experience Replay with Review for Continual Learning](https://arxiv.org/abs/2007.05683)



- 2020/07/14 arxiv [Multitask Learning Strengthens Adversarial Robustness](https://arxiv.org/abs/2007.07236)



- 2020/07/14 MICCAI-20 [Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model](https://arxiv.org/abs/2007.07230)



- 2020/07/05 TIP [Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis](https://arxiv.org/abs/2007.07222)



- 2020/07/14 WACV-20 [Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation](https://arxiv.org/abs/2007.07077)



- 2020/07/14 ICML-20 [Automated Synthetic-to-Real Generalization](https://arxiv.org/abs/2007.06965)



- 2020/07/14 ECCV-20 Oral [TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning](https://arxiv.org/abs/2007.06793)



- 2020/07/14 ECCV-20 [Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction]



- 2020/06/14 arxiv [Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation](https://arxiv.org/abs/2006.07834)



- 2020/06/14 arxiv [Domain Adaptation and Image Classification via Deep Conditional Adaptation Network](https://arxiv.org/abs/2006.07776)



- 2020/06/13 arxiv [Rethinking the Value of Labels for Improving Class-Imbalanced Learning](https://arxiv.org/abs/2006.07529)



- 2020/06/16 arxiv [Domain Adaptation with Morphologic Segmentation](https://arxiv.org/abs/2006.09322)



- 2020/06/16 arxiv [DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection](https://arxiv.org/abs/2006.09225)



- 2020/06/16 CVPR-20 [RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real](https://arxiv.org/abs/2006.09001)



- 2020/06/15 CVPR-20 Workshop [ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation](https://arxiv.org/abs/2006.08658)



- :star: :star: 2020/06/16 arxiv [Mining Label Distribution Drift in Unsupervised Domain Adaptation](https://arxiv.org/abs/2006.09565)



- 2020/06/27 PR [Simple and effective localized attribute representations for zero-shot learning](https://arxiv.org/abs/2006.05938)



- 2002/06/18 arxiv [Fully Test-time Adaptation by Entropy Minimization](https://arxiv.org/abs/2006.10726)



- 2020/06/18 CVPR-20 [Online Deep Clustering for Unsupervised Representation Learning](https://arxiv.org/abs/2006.10645)



- 2020/06/16 arxiv [Gradient Amplification: An efficient way to train deep neural networks](https://arxiv.org/abs/2006.10560)



- 2020/06/18 arxiv [Contrastive learning of global and local features for medical image segmentation with limited annotations](https://arxiv.org/abs/2006.10511)



- 2020/06/18 arxiv [Learning High-Resolution Domain-Specific Representations with a GAN Generator](https://arxiv.org/abs/2006.10451)



- :star: 2020/06/18 arxiv [SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning](https://arxiv.org/abs/2006.10386)



- 2020/06/18 arxiv [Joint Contrastive Learning for Unsupervised Domain Adaptation](https://arxiv.org/abs/2006.10297)



- 2020/05/23 arxiv [Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation](https://arxiv.org/abs/2006.10132)



- :star: :star: 2020/06/22 arxiv [Feature Alignment and Restoration for Domain Generalization and Adaptation](https://arxiv.org/abs/2006.12009)



- 2020/06/20 IJCAI-20 [Unsupervised Vehicle Re-identification with Progressive Adaptation](https://arxiv.org/abs/2006.11486)



- 2020/06/11 arxiv [Auto-Encoding for Shared Cross Domain Feature Representation and Image-to-Image Translation](https://arxiv.org/abs/2006.11404)



- :star: arxiv [Calibrated Adversarial Refinement for Multimodal Semantic Segmentation](https://arxiv.org/abs/2006.13144)



- :star: arxiv [Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation](https://arxiv.org/abs/2006.13022)



- 2020/06/21 arxiv [FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search](https://arxiv.org/abs/2006.12986)



- :star: 2020/07/24 arxiv [Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment](https://arxiv.org/abs/2006.12770)



- 2020/06/23 arxiv [Contrastive Generative Adversarial Networks](https://arxiv.org/abs/2006.12681)



- :star: 2020/07/02 arxiv [Learn Faster and Forget Slower via Fast and Stable Task Adaptation](https://arxiv.org/abs/2007.01388)



- 2020/07/07 MICCAI-20 [Self domain adapted network](https://arxiv.org/abs/2007.03162)



- - -



## 1.Introduction and Tutorials



- 2020/04/22 [Moment-Based Domain Adaptation: Learning Bounds and Algorithms](https://arxiv.org/abs/2004.10618)

	- Doctoral Thesis developed at the Department of Knowledge-Based Mathematical Systems at the Johannes Kepler University Linz under the supervision of Susanne Saminger-Platz and Bernhard Moser.



- 2019/07/22 ICML-19 [Bridging Theory and Algorithm for Domain Adaptation](https://arxiv.org/abs/1904.05801)



- 2019/03/12 arxiv [Transfer Adaptation Learning: A Decade Survey](https://arxiv.org/abs/1903.04687)



## 2.Domain Adaptation Areas and Papers



Related articles by research areas:

- [Classification](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Classification.md)

- [Semantic Segmentation](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Semantic%20Segmentation.md)

- [Detection](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Detection.md)

- ...



## 3.Datasets and Benchmarks



Please see [HERE](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Datasets%20and%20benchmarks.md) for the popular domain adaptation**datasets and certain benchmark** results.



## 4.Other novel papers



Related articles by research areas:

- [Meta Learning](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#11meta-learning)

- [Life-long Learing](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#12-life-long-learing)

- [GAN](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#13-gan)

- [zero / Few-shot Learning](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#14-zero--few-shot-learning)

- [Multi-task learning](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#15-multi-task-learning)

- [Representation Learning](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#16-representation-learning)

- [Other Interesting Works](https://github.com/jarvisWang0903/Awesome-Domain-Adaptation/blob/master/doc/Interesting%20paper.md#17-other-interesting-works)