upd: 2 papers

README.md

@@ -60,6 +60,14 @@ Related Codes: [[USB: unified semi-supervised learning benchmark](https://github
 - By topic: [doc/awesome_papers.md](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md)
 - By date: [[2022-12](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-12)] [[2022-11](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-11)] [[2022-10](https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper_date.md#2022-10)] [[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 2023-01-21:*
+
+- ICLR'23 Out-of-distribution Representation Learning for Time Series Classification [[arxiv](https://arxiv.org/abs/2209.07027)]
+  - OOD for time series classification 时间序列分类的OOD算法
+
+- ICLR'23 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning [[arxiv](https://arxiv.org/abs/2205.07246)]
+  - New baseline for semi-supervised learning 半监督学习新算法
+
 *Updated at 2023-01-12:*
 
 - Does progress on ImageNet transfer to real-world datasets? [[arxiv](https://arxiv.org/abs/2301.04644)]

doc/awesome_paper.md

@@ -1639,6 +1639,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ### Papers
 
+- ICLR'23 Out-of-distribution Representation Learning for Time Series Classification [[arxiv](https://arxiv.org/abs/2209.07027)]
+  - OOD for time series classification 时间序列分类的OOD算法
+
 - TMLR'22 A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges [[openreview](https://openreview.net/forum?id=aRtjVZvbpK)]
   - A recent survey on OOD/anomaly detection 一篇最新的关于OOD/anomaly detection的综述