DL_paper_review

읽은 논문을 git issue에 요약합니다.

• [ ] Test-time prompt tuning for zero-shot generalization in vision-language models (2022 NeurIPS)
• [ ] Dualprompt: Complementary prompting for rehearsal-free continual learning (2022 ECCV)
• [ ] Feature-Proxy Transformer for Few-Shot Segmentation (2022 NeurIPS)
• [ ] Deep class-incremental learning: A survey (2023 Arxiv)
• [ ] Attempt: Parameter-efficient multi-task tuning via attentional mixtures of soft prompts (2022 EMNLP)
• [ ] Learning to Prompt for Continual Learning (2022 CVPR)
• [ ] Visual Prompt Tuning for Test-time Domain Adaptation (2022 Arxiv)
• [ ] S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning (2022 NeurIPS)