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1. FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization

2. WATT: Weight Average Test-Time Adaptation of CLIP

3. GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D

4. CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time

5. NC-TTT: A Noise Contrastive Approach for Test-Time Training

6. ClusT3: Information Invariant Test-Time Training

7. TFS-ViT: Token-Level Feature Stylization for Domain Generalization

8. TTTFlow: Unsupervised Test-Time Training with Normalizing Flow

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