add: 1 paper

README.md

@@ -67,33 +67,10 @@ Related Codes:
 - By topic: [doc/awesome_papers.md](/doc/awesome_paper.md)
 - By date: [doc/awesome_paper_date.md](/doc/awesome_paper_date.md)
 
-*Updated at 2024-07-31:*
+*Updated at 2024-08-05:*
 
-- Reducing Spurious Correlation for Federated Domain Generalization [[arxiv](https://arxiv.org/abs/2407.19174)]
-  - Federated domain generalization by reducing spurious correlation
-
-- Can Modifying Data Address Graph Domain Adaptation? [[arxiv](https://arxiv.org/abs/2407.19311)]
-  - Alignment and rescaling for graph DA
-
-- Improving Domain Adaptation Through Class Aware Frequency Transformation [[arxiv](https://arxiv.org/abs/2407.19551)]
-  - Class aware frequency transformation for domain adaptation
-
-
-*Updated at 2024-07-29:*
-
-- Rethinking Domain Adaptation and Generalization in the Era of CLIP [[arxiv](http://arxiv.org/abs/2407.15173)]
-  - Rethinking domain adaptation in CLIP era
-
-- Training-Free Model Merging for Multi-target Domain Adaptation [[arxiv](http://arxiv.org/abs/2407.13771)]
-  - Model merging for multi-target domain adaptation 
-
-*Updated at 2024-07-09:*
-
-- SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning [[arxiv](https://arxiv.org/abs/2407.03036)]
-  - OOD fine-tuning for foundation models 大模型的OOD微调
-
-- Multi-Task Domain Adaptation for Language Grounding with 3D Objects [[arxiv](https://arxiv.org/abs/2407.02846)]
-  - Multi-task domain adaptation for language grounding
+- Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift [[arxiv](http://arxiv.org/abs/2407.18428)]
+  - Domain generalization under invariant feature shift
 
 - - -
 

doc/awesome_paper.md

@@ -15,8 +15,7 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
   - [Traditional domain adaptation](#traditional-domain-adaptation)
   - [Deep domain adaptation](#deep-domain-adaptation)
   - [Domain generalization](#domain-generalization)
-    - [Survey](#survey-1)
-    - [Tutorial](#tutorial)
+    - [Survey \& tutorial](#survey--tutorial)
     - [Papers](#papers)
   - [Source-free domain adaptation](#source-free-domain-adaptation)
   - [Multi-source domain adaptation](#multi-source-domain-adaptation)
@@ -1943,7 +1942,7 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Domain generalization
 
-### Survey
+### Survey & tutorial
 
 - TKDE-22 [Generalizing to Unseen Domains: A Survey on Domain Generalization](https://arxiv.org/abs/2103.03097) | [知乎文章](https://zhuanlan.zhihu.com/p/354740610) | [微信公众号](https://mp.weixin.qq.com/s/DsoVDYqLB1N7gj9X5UnYqw) | [Code](https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG)
     - First survey on domain generalization
@@ -1952,15 +1951,16 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 - Federated Domain Generalization: A Survey [[arxiv](http://arxiv.org/abs/2306.01334)]
   - A survey on federated domain generalization 一篇关于联邦域泛化的综述
 
-### Tutorial
-
 - KDD 2023 tutorial: trustworthy machine learning: robustness, generalization, and interpretability [[link](https://mltrust.github.io/)]
 
 - WSDM-23 and IJCAI-22 A tutorial on domain generalization [[link](https://dl.acm.org/doi/10.1145/3539597.3572722)] | [[website](https://dgresearch.github.io/)]
   - A tutorial on domain generalization
 
 ### Papers
 
+- Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift [[arxiv](http://arxiv.org/abs/2407.18428)]
+  - Domain generalization under invariant feature shift
+
 - Reducing Spurious Correlation for Federated Domain Generalization [[arxiv](https://arxiv.org/abs/2407.19174)]
   - Federated domain generalization by reducing spurious correlation
 

doc/awesome_paper_date.md

@@ -3,6 +3,7 @@
 Here, we list some papers related to transfer learning by date (starting from 2021-07). For papers older than 2021-07, please refer to the [papers by topic](awesome_paper.md), which contains more papers.
 
 - [Awesome papers by date](#awesome-papers-by-date)
+  - [2024-07](#2024-07)
   - [2024-05](#2024-05)
   - [2024-04](#2024-04)
   - [2024-03](#2024-03)
@@ -40,6 +41,29 @@ Here, we list some papers related to transfer learning by date (starting from 20
   - [2021-07](#2021-07)
 
 
+## 2024-07
+
+- Reducing Spurious Correlation for Federated Domain Generalization [[arxiv](https://arxiv.org/abs/2407.19174)]
+  - Federated domain generalization by reducing spurious correlation
+
+- Can Modifying Data Address Graph Domain Adaptation? [[arxiv](https://arxiv.org/abs/2407.19311)]
+  - Alignment and rescaling for graph DA
+
+- Improving Domain Adaptation Through Class Aware Frequency Transformation [[arxiv](https://arxiv.org/abs/2407.19551)]
+  - Class aware frequency transformation for domain adaptation
+
+- Rethinking Domain Adaptation and Generalization in the Era of CLIP [[arxiv](http://arxiv.org/abs/2407.15173)]
+  - Rethinking domain adaptation in CLIP era
+
+- Training-Free Model Merging for Multi-target Domain Adaptation [[arxiv](http://arxiv.org/abs/2407.13771)]
+  - Model merging for multi-target domain adaptation 
+
+- SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning [[arxiv](https://arxiv.org/abs/2407.03036)]
+  - OOD fine-tuning for foundation models 大模型的OOD微调
+
+- Multi-Task Domain Adaptation for Language Grounding with 3D Objects [[arxiv](https://arxiv.org/abs/2407.02846)]
+  - Multi-task domain adaptation for language grounding
+
 ## 2024-05
 
 - Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning [[arxiv](https://arxiv.org/abs/2405.11816)]