Below is a list of papers you are supposed to choose from for your in-class presentation. You are free to present other papers which interest you.

Transfer Learning

• https://proceedings.neurips.cc/paper/2020/hash/0607f4c705595b911a4f3e7a127b44e0-Abstract.html
• https://proceedings.mlr.press/v37/long15
• https://proceedings.mlr.press/v70/long17a.html
• Transfer Learning with Dynamic Adversarial Adaptation Network | IEEE Conference Publication | IEEE Xplore
• Transfer Learning with Dynamic Distribution Adaptation | ACM Transactions on Intelligent Systems and Technology
• Unsupervised Domain Adaptation by Backpropagation
• Contrastive Adaptation Network for Unsupervised Domain Adaptation
• ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing

Domain Generalization

• https://arxiv.org/abs/2104.02008
• https://arxiv.org/abs/2211.05228
• https://arxiv.org/abs/2305.16817
• https://arxiv.org/abs/2209.07027
• Deeper, Broader and Artier Domain Generalization
• Domain Generalization With Adversarial Feature Learning
• Learning to Generalize: Meta-Learning for Domain Generalization | Proceedings of the AAAI Conference on Artificial Intelligence
• **A Simple Feature Augmentation for Domain Generalization**