From aa6ee9fcbc7e2fa75ce6fb5f2f60d8193e1c6894 Mon Sep 17 00:00:00 2001 From: Jindong Wang Date: Wed, 22 May 2024 16:50:55 +0800 Subject: [PATCH] add: 3 papers --- README.md | 59 +++++---------------------------------- doc/awesome_paper.md | 9 ++++++ doc/awesome_paper_date.md | 52 ++++++++++++++++++++++++++++++++++ 3 files changed, 68 insertions(+), 52 deletions(-) diff --git a/README.md b/README.md index 4c3fb5c..7e02fa0 100644 --- a/README.md +++ b/README.md @@ -67,61 +67,16 @@ 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 2024-04-25:* +*Updated at 2024-05-22:* -- MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition [[arxiv](https://arxiv.org/abs/2404.15615)] - - Manifold-based domain adaptation for EEG-based emotion recognition 基于流形的DA用于EEG情绪识别 +- Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning [[arxiv](https://arxiv.org/abs/2405.11816)] + - Transfer learning for CSI-based positioning 用迁移学习进行基于CSI的定位 -- Domain Adaptation for Learned Image Compression with Supervised Adapters [[arxiv](https://arxiv.org/abs/2404.15591)] - - Domain adaptation for learned image compression DA用于图片压缩 +- Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation [[arxiv](https://arxiv.org/abs/2405.11754)] + - Teacher-student framework for cross-domain adaptation 教师-学生框架进行跨领域适配 -- Test-Time Training on Graphs with Large Language Models (LLMs) [[arxiv](https://arxiv.org/abs/2404.13571)] - - Test-time training on graphs with LLMs 使用大语言模型在图上进行测试时训练 - -*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)] - - Domain generalization using mamba 用Mamba结构进行DG - -- 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 - -*Updated at 2024-04-01:* - -- ICASSP'24 Learning Inference-Time Drift Sensor-Actuator for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447537?casa_token=6xrw2hE7cVEAAAAA:9i_ITqbfyLTzQYjdp4Oi16ziD8uheMMZJHRn4gHmzl9nN_j2c5u8MBxUtYYdzlj1Vn4l8F5OJnrw3BY)] - - Inference-time drift actuator for OOD generalization - -- ICASSP'24 SBM: Smoothness-Based Minimization for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446613?casa_token=kO10uC18NMQAAAAA:6WJvMr57dSMyORMAnBgFGXi01aE_AmIAA6CQINztT7pHG2u8RmojDxMdV09UO6O9IfFsVEJDrYl1uiU)] - - Smoothness-based minimization for OOD generalization - -- ICASSP'24 G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447043?casa_token=ihJ_LaxqnfUAAAAA:8Petax0UdQ9bvJLrRbFrujWcVjDzIckhYLDvIk-rUZxo-S7pa6xgbGBxkLWjs8c8H1jR4E8Rop8e7cc)] - - Federated domain generalization - -- ICASSP'24 Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447741?casa_token=t0FGpPfYxeoAAAAA:yyZ1zKhXstoaxNOtP6zKBj1ArLF8JZ7gGQOtR-k6DAHCO9SWTIOwLG5TF71BrcenWvO002MYku-wtQI)] - - Single-source DG in fundus image segmentation - -- ICASSP'24 Style Factorization: Explore Diverse Style Variation for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447540?casa_token=inLqNDEGEjQAAAAA:7jNUOViyS9PIn-BwIV0LJ-5oCzmM7BXpMLfyLosedaxmxZ-_c_2sA615GlCgrlwaspjdVKa4eogm6Z4)] - - Style variation for domain generalization - -- ICASSP'24 SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447210?casa_token=NSBeXUg0AdUAAAAA:4rrMR38UcDN2YRzD9Fvm42gT3dyEX5lO0arFkmVIu3VwQLT9UFLAmU3a5ZOfxtr812_Fic1SCcw9mr0)] - - Domain augmentation for multi-source DG - -- ICASSP'24 Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446788?casa_token=Rh3MGM6szOQAAAAA:0GRegU3dIidLVvIYtJb97m2ZDCl0wwKVTmTZH7XTE0fzEBmRuwJHSn_T1U6NgwSYHFPKlWHox_BO4Eg)] - - Using synthetic data for OOD generalization - -- ICASSP'24 Multi-Level Augmentation Consistency Learning and Sample Selection for Semi-Supervised Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446462?casa_token=vfAJ1GINr0AAAAAA:YS4NVt-kR8-sJqhfo6H7d04ZmckxUUpsIYuy2agnB4IpgCnR7xOzyrNv59MZ2lcbVhNvsN6Cl4p_7YI)] - - Multi-level augmentation for semi-supervised domain generalization - -- ICASSP'24 MMS: Morphology-Mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation [[IEEE](https://ieeexplore.ieee.org/abstract/document/10448305?casa_token=14-2Vm39RD4AAAAA:Zmzm9KTl3INP2I83T2MLwQXtHUZKwXYfhDOPU9F0Eu9SrznInqGpSBrMYH0ek3eemDKdyL4bBU6EVaY)] - - Morphology-mixup for domain generalization +- MICCAI'24 MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection [[arxiv](https://arxiv.org/abs/2405.11315)] + - Adapting clip for few-shot medical image anomaly detection 对CLIP模型进行适配，以用于少样本图片异常检测 - - - diff --git a/doc/awesome_paper.md b/doc/awesome_paper.md index 98698ed..3e447e8 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 +- Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning [[arxiv](https://arxiv.org/abs/2405.11816)] + - Transfer learning for CSI-based positioning 用迁移学习进行基于CSI的定位 + - 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 @@ -766,6 +769,12 @@ Here, we list some papers by topic. For list by date, please refer to [papers by ## Deep domain adaptation +- Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation [[arxiv](https://arxiv.org/abs/2405.11754)] + - Teacher-student framework for cross-domain adaptation 教师-学生框架进行跨领域适配 + +- MICCAI'24 MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection [[arxiv](https://arxiv.org/abs/2405.11315)] + - Adapting clip for few-shot medical image anomaly detection 对CLIP模型进行适配，以用于少样本图片异常检测 + - MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition [[arxiv](https://arxiv.org/abs/2404.15615)] - Manifold-based domain adaptation for EEG-based emotion recognition 基于流形的DA用于EEG情绪识别 diff --git a/doc/awesome_paper_date.md b/doc/awesome_paper_date.md index 3ae5bdb..26d928b 100644 --- a/doc/awesome_paper_date.md +++ b/doc/awesome_paper_date.md @@ -3,6 +3,7 @@ Here, we list some papers related to transfer learning by date (starting from 2021-07). For papers older than 2021-07, please refer to the [papers by topic](awesome_paper.md), which contains more papers. - [Awesome papers by date](#awesome-papers-by-date) + - [2024-04](#2024-04) - [2024-03](#2024-03) - [2024-02](#2024-02) - [2024-01](#2024-01) @@ -37,6 +38,57 @@ Here, we list some papers related to transfer learning by date (starting from 20 - [2021-08](#2021-08) - [2021-07](#2021-07) + +## 2024-04 + +- MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition [[arxiv](https://arxiv.org/abs/2404.15615)] + - Manifold-based domain adaptation for EEG-based emotion recognition 基于流形的DA用于EEG情绪识别 + +- Domain Adaptation for Learned Image Compression with Supervised Adapters [[arxiv](https://arxiv.org/abs/2404.15591)] + - Domain adaptation for learned image compression DA用于图片压缩 + +- Test-Time Training on Graphs with Large Language Models (LLMs) [[arxiv](https://arxiv.org/abs/2404.13571)] + - Test-time training on graphs with LLMs 使用大语言模型在图上进行测试时训练 + +- 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 + +- DGMamba: Domain Generalization via Generalized State Space Model [[arXiv](https://arxiv.org/abs/2404.07794)] + - Domain generalization using mamba 用Mamba结构进行DG + +- 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 + +- ICASSP'24 Learning Inference-Time Drift Sensor-Actuator for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447537?casa_token=6xrw2hE7cVEAAAAA:9i_ITqbfyLTzQYjdp4Oi16ziD8uheMMZJHRn4gHmzl9nN_j2c5u8MBxUtYYdzlj1Vn4l8F5OJnrw3BY)] + - Inference-time drift actuator for OOD generalization + +- ICASSP'24 SBM: Smoothness-Based Minimization for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446613?casa_token=kO10uC18NMQAAAAA:6WJvMr57dSMyORMAnBgFGXi01aE_AmIAA6CQINztT7pHG2u8RmojDxMdV09UO6O9IfFsVEJDrYl1uiU)] + - Smoothness-based minimization for OOD generalization + +- ICASSP'24 G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447043?casa_token=ihJ_LaxqnfUAAAAA:8Petax0UdQ9bvJLrRbFrujWcVjDzIckhYLDvIk-rUZxo-S7pa6xgbGBxkLWjs8c8H1jR4E8Rop8e7cc)] + - Federated domain generalization + +- ICASSP'24 Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447741?casa_token=t0FGpPfYxeoAAAAA:yyZ1zKhXstoaxNOtP6zKBj1ArLF8JZ7gGQOtR-k6DAHCO9SWTIOwLG5TF71BrcenWvO002MYku-wtQI)] + - Single-source DG in fundus image segmentation + +- ICASSP'24 Style Factorization: Explore Diverse Style Variation for Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447540?casa_token=inLqNDEGEjQAAAAA:7jNUOViyS9PIn-BwIV0LJ-5oCzmM7BXpMLfyLosedaxmxZ-_c_2sA615GlCgrlwaspjdVKa4eogm6Z4)] + - Style variation for domain generalization + +- ICASSP'24 SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10447210?casa_token=NSBeXUg0AdUAAAAA:4rrMR38UcDN2YRzD9Fvm42gT3dyEX5lO0arFkmVIu3VwQLT9UFLAmU3a5ZOfxtr812_Fic1SCcw9mr0)] + - Domain augmentation for multi-source DG + +- ICASSP'24 Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446788?casa_token=Rh3MGM6szOQAAAAA:0GRegU3dIidLVvIYtJb97m2ZDCl0wwKVTmTZH7XTE0fzEBmRuwJHSn_T1U6NgwSYHFPKlWHox_BO4Eg)] + - Using synthetic data for OOD generalization + +- ICASSP'24 Multi-Level Augmentation Consistency Learning and Sample Selection for Semi-Supervised Domain Generalization [[IEEE](https://ieeexplore.ieee.org/abstract/document/10446462?casa_token=vfAJ1GINr0AAAAAA:YS4NVt-kR8-sJqhfo6H7d04ZmckxUUpsIYuy2agnB4IpgCnR7xOzyrNv59MZ2lcbVhNvsN6Cl4p_7YI)] + - Multi-level augmentation for semi-supervised domain generalization + +- ICASSP'24 MMS: Morphology-Mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation [[IEEE](https://ieeexplore.ieee.org/abstract/document/10448305?casa_token=14-2Vm39RD4AAAAA:Zmzm9KTl3INP2I83T2MLwQXtHUZKwXYfhDOPU9F0Eu9SrznInqGpSBrMYH0ek3eemDKdyL4bBU6EVaY)] + - Morphology-mixup for domain generalization + ## 2024-03 - On the Benefits of Over-parameterization for Out-of-Distribution Generalization [[arxiv](http://arxiv.org/abs/2403.17592)]