**Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation**

> Continual Test-Time Adaptation (CTTA) aims to maintain model performance under evolving target domains by adapting online without labeled data. However, practical deployments often cannot retain the source dataset due to privacy or licensing constraints, and purely source-free CTTA methods tend to become unstable under long-term distribution shift, suffering from compounding self-training errors and catastrophic forg...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-06-25 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2606.20196)