add: 2 papers

README.md

@@ -60,6 +60,14 @@ Related repos：[[USB: unified semi-supervised learning benchmark](https://githu
 - By topic: [doc/awesome_papers.md](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md)
 - By date: [[2022-09](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-09)] [[2022-08](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-08)] [[2022-07](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-07)] [[2022-06](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-06)] [[2022-05](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-05)] [[2022-04](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-04)] [[2022-03](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-03)] [[2022-02](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-02)] [[2022-01](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-01)] [[2021-12](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-12)] [[2021-11](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-11)] [[2021-10](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-10)] [[2021-09](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-09)] [[2021-08](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-08)] [[2021-07](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2021-07)]
 
+*Updated at 2022-10-17:*
+
+- The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning [[arxiv](https://openreview.net/forum?id=Qs3EfpieOh)]
+  - Evolution of OOD robustness by fine-tuning 
+
+- Visual Prompt Tuning for Test-time Domain Adaptation [[arxiv](http://arxiv.org/abs/2210.04831)]
+  - VPT for test-time adaptation 用prompt tuning进行test-time DA
+
 *Updated at 2022-10-10:*
 
 - Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup [[arxiv](https://arxiv.org/abs/2210.03250)]

doc/awesome_paper.md

@@ -1568,6 +1568,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Domain generalization
 
+- The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning [[arxiv](https://openreview.net/forum?id=Qs3EfpieOh)]
+  - Evolution of OOD robustness by fine-tuning 
+
 - Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning [[arxiv](https://arxiv.org/abs/2210.03275)]
   - OOD in algorithmic reasoning 算法reasoning过程中的OOD
 
@@ -1819,6 +1822,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Source-free domain adaptation
 
+- Visual Prompt Tuning for Test-time Domain Adaptation [[arxiv](http://arxiv.org/abs/2210.04831)]
+  - VPT for test-time adaptation 用prompt tuning进行test-time DA
+
 - [Active Source Free Domain Adaptation](https://arxiv.org/abs/2205.10711)
   - Active source-free DA 主动学习-无源域DA