add: 5 papers

Author: jindongwang

README.md

@@ -64,6 +64,23 @@ 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 2023-04-18:*
+
+- CVPR'23 Zero-shot Generative Model Adaptation via Image-specific Prompt Learning [[arxiv](http://arxiv.org/abs/2304.03119)]
+  - Zero-shot generative model adaptation via image-specific prompt learning 零样本的生成模型adaptation
+
+- Source-free Domain Adaptation Requires Penalized Diversity [[arxiv](http://arxiv.org/abs/2304.02798)]
+  - Source-free DA requires penalized diversity
+
+- Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation [[arxiv](http://arxiv.org/abs/2304.02720)]
+  - Domain generalization for medical segmentation 用domain generalization进行医学分割
+
+- CVPR'23 Meta-causal Learning for Single Domain Generalization [[arxiv](http://arxiv.org/abs/2304.03709)]
+  - Meta-causal learning for domain generalization
+
+- Domain Generalization In Robust Invariant Representation [[arxiv](http://arxiv.org/abs/2304.03431)]
+  - Domain generalization in robust invariant representation
+
 *Updated at 2023-04-10:*
 
 - Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness [[arxiv](http://arxiv.org/abs/2303.16861)]

doc/awesome_paper.md

@@ -677,6 +677,12 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Deep domain adaptation
 
+- CVPR'23 Zero-shot Generative Model Adaptation via Image-specific Prompt Learning [[arxiv](http://arxiv.org/abs/2304.03119)]
+  - Zero-shot generative model adaptation via image-specific prompt learning 零样本的生成模型adaptation
+
+- Source-free Domain Adaptation Requires Penalized Diversity [[arxiv](http://arxiv.org/abs/2304.02798)]
+  - Source-free DA requires penalized diversity
+
 - Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning [[arxiv](http://arxiv.org/abs/2303.15833)]
   - Continual domain shift learning using adaptation and generalization 使用 adaptation和DG进行持续分布变化的学习
 
@@ -1699,6 +1705,15 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ### Papers
 
+- Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation [[arxiv](http://arxiv.org/abs/2304.02720)]
+  - Domain generalization for medical segmentation 用domain generalization进行医学分割
+
+- CVPR'23 Meta-causal Learning for Single Domain Generalization [[arxiv](http://arxiv.org/abs/2304.03709)]
+  - Meta-causal learning for domain generalization
+
+- Domain Generalization In Robust Invariant Representation [[arxiv](http://arxiv.org/abs/2304.03431)]
+  - Domain generalization in robust invariant representation
+
 - Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness [[arxiv](http://arxiv.org/abs/2303.16861)]
   - Local structure preserving for adversarial robustness 通过保留局部结构来进行对抗鲁棒性
 

doc/transfer_learning_application.md

@@ -315,6 +315,9 @@ By reverse chronological order.
 
 ## Medical and healthcare
 
+- Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation [[arxiv](http://arxiv.org/abs/2304.02720)]
+  - Domain generalization for medical segmentation 用domain generalization进行医学分割
+
 - Probabilistic Domain Adaptation for Biomedical Image Segmentation [[arxiv](http://arxiv.org/abs/2303.11790)]
   - Probabilistic domain adaptation for biomedical image segmentation 概率的domain adaptation用于生物医疗图像分割