diff --git a/README.md b/README.md index 6406d4d7..15431efc 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,14 @@ 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 2024-04-18:* + +- DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series [[arxiv](https://arxiv.org/abs/2404.11269)] + - Domain adaptation for anomaly detection 使用域自适应进行时间序列异常检测 + +- CVPR'24 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models [[arxiv](https://arxiv.org/abs/2404.11207)] + - Explore the transferability of visual prompting for multimodal LLM 探索多模态大模型visual prompt tuning的可迁移性 + *Updated at 2024-04-16:* - DGMamba: Domain Generalization via Generalized State Space Model [[arXiv](https://arxiv.org/abs/2404.07794)] diff --git a/doc/awesome_paper.md b/doc/awesome_paper.md index b11d4341..d053a290 100644 --- a/doc/awesome_paper.md +++ b/doc/awesome_paper.md @@ -175,6 +175,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by ## Per-training/Finetuning +- CVPR'24 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models [[arxiv](https://arxiv.org/abs/2404.11207)] + - Explore the transferability of visual prompting for multimodal LLM 探索多模态大模型visual prompt tuning的可迁移性 + - MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks [[arxiv](https://arxiv.org/abs/2403.11646)] - Model merge for medical transfer learning 通过模型合并进行医学迁移学习 @@ -763,6 +766,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by ## Deep domain adaptation +- DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series [[arxiv](https://arxiv.org/abs/2404.11269)] + - Domain adaptation for anomaly detection 使用域自适应进行时间序列异常检测 + - CVPR'24 Unified Language-driven Zero-shot Domain Adaptation [[arxiv](https://arxiv.org/abs/2404.07155)] - Language-driven zero-shot domain adaptation 语言驱动的零样本 DA