Domain Adaptation

ICLR 2025arXiv:2410.17891

#2

Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Shansan Gong, Shivam Agarwal, Yizhe Zhang et al.

157

CVPR 2024arXiv:2403.18293

#3

Adapting Large Language Models via Reading Comprehension

Daixuan Cheng, Shaohan Huang, Furu Wei

Efficient Test-Time Adaptation of Vision-Language Models

Adilbek Karmanov, Dayan Guan, Shijian Lu et al.

test-time adaptationvision-language modelsdistribution shiftsdynamic adapter+3

116

CVPR 2024arXiv:2403.12570

#5

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

Chaoqin Huang, Aofan Jiang, Jinghao Feng et al.

89

AAAI 2024arXiv:2312.09553

#6

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou et al.

unsupervised domain adaptationvisual-language modelsprompt engineeringdistribution alignment+4

85

CVPR 2024arXiv:2311.16510

#7

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

Song Tang, Wenxin Su, Mao Ye et al.

65

CVPR 2024arXiv:2312.12730

#8

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed et al.

few-shot adaptationvision-language modelsefficient transfer learninglinear probing+4

65

ICLR 2024arXiv:2306.04344

#9

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

Jiaming Liu, Senqiao Yang, Peidong Jia et al.

63

ICML 2024arXiv:2404.01650

#10

Test-Time Model Adaptation with Only Forward Passes

Shuaicheng Niu, Chunyan Miao, Guohao Chen et al.

test-time adaptationforward pass optimizationcovariance matrix adaptationmodel quantization+4

60

CVPR 2024arXiv:2312.02432

#11

Orthogonal Adaptation for Modular Customization of Diffusion Models

Ryan Po, Guandao Yang, Kfir Aberman et al.

59

ICLR 2024arXiv:2302.06605

#12

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling

Haoyu Lu, Yuqi Huo, Guoxing Yang et al.

parameter-efficient transfer learningcross-modal modelingvision-language pre-trained modelsmultimodal adapters+4

55

ICML 2024arXiv:2402.05140

#13

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Junhong Shen, Neil Tenenholtz, James Hall et al.

input tag conditioningdomain adaptationzero-shot generalizationspecialized domain tasks+4

54

CVPR 2024arXiv:2403.02899

#14

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Zhekai Du, Xinyao Li, Fengling Li et al.

53

CVPR 2024arXiv:2403.17589

#15

Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models

Yabin Zhang, Wenjie Zhu, Hui Tang et al.

51

CVPR 2024arXiv:2403.01439

#16

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

Xin Zhou, Dingkang Liang, Wei Xu et al.

49

CVPR 2024arXiv:2312.03502

#17

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation

Haojie Zhang, Yongyi Su, Xun Xu et al.

46

CVPR 2024arXiv:2403.03421

#18

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Sanqing Qu, Tianpei Zou, Lianghua He et al.

46

ICML 2025arXiv:2503.18938

#19

AdaWorld: Learning Adaptable World Models with Latent Actions

Shenyuan Gao, Siyuan Zhou, Yilun Du et al.

44

AAAI 2024arXiv:2309.14949

#20

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization

Yongyi Su, Xun Xu, Kui Jia

test-time adaptationreal-world adaptationclass imbalancebalanced normalization+4

43

ICLR 2024arXiv:2310.05905

#21

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Zuxin Liu, Jesse Zhang, Kavosh Asadi et al.

39

AAAI 2024arXiv:2312.11976

#22

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection

36

ICLR 2025arXiv:2410.11820

#23

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Yiding Jiang, Allan Zhou, Zhili Feng et al.

pretraining data compositiondata distribution optimizationscaling lawsfoundation models+3

36

AAAI 2024arXiv:2312.10165

#24

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Yanan Wu, Zhixiang Chi, Yang Wang et al.

test-time adaptationdomain adaptationbatch normalizationself-supervised learning+4

32

CVPR 2025arXiv:2403.18886

#25

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Huiyi Wang, Haodong Lu, Lina Yao et al.

32

CVPR 2024arXiv:2403.19278

#26

CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection

Mikhail Kennerley, Jian-Gang Wang, Bharadwaj Veeravalli et al.

32

CVPR 2024arXiv:2404.07155

#27

Unified Language-driven Zero-shot Domain Adaptation

Senqiao Yang, Zhuotao Tian, Li Jiang et al.

31

CVPR 2024arXiv:2311.12905

#28

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer

Wenqiao Zhang, Zheqi Lv

active domain adaptationmulti-source domain adaptationdomain shiftuncertainty calibration+4

31

CVPR 2024arXiv:2405.14077

#29

Learning to Transform Dynamically for Better Adversarial Transferability

Rongyi Zhu, Zeliang Zhang, Susan Liang et al.

31

CVPR 2024arXiv:2404.10322

#30

Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation

Jiapeng Su, Qi Fan, Wenjie Pei et al.

29

CVPR 2024arXiv:2402.17614

#31

Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation

Jonas Herzog

29

ECCV 2024arXiv:2407.12427

#32

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

Luc Sträter, Mohammadreza Salehi, Efstratios Gavves et al.

anomaly detectionvision transformersself-supervised learningcross-domain generalization+4

28

ICLR 2024arXiv:2403.10834

#33

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption

Nan Yin, Mengzhu Wang, Mengzhu Wang et al.

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin et al.

27

CVPR 2025arXiv:2406.18844

#35

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Siyuan Liang, Jiawei Liang, Tianyu Pang et al.

26

ICML 2024arXiv:2405.15369

#36

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Jiafei Lyu, Chenjia Bai, Jing-Wen Yang et al.

representation learningpolicy adaptationdynamics mismatchcross-domain transfer+3

25

ICML 2024arXiv:2403.01092

#37

Pairwise Alignment Improves Graph Domain Adaptation

Shikun Liu, Deyu Zou, Han Zhao et al.

graph domain adaptationconditional structure shiftlabel shiftnode classification+4

25

NEURIPS 2025arXiv:2506.10943

#38

Self-Adapting Language Models

Adam Zweiger, Jyo Pari, Han Guo et al.

self-adapting language modelsweight adaptation mechanismsself-generated finetuning datareinforcement learning loop+4

25

CVPR 2024arXiv:2402.03312

#39

Test-Time Adaptation for Depth Completion

Hyoungseob Park, Anjali W Gupta, Alex Wong

test-time adaptationdepth completiondomain adaptationcovariate shift+4

24

ECCV 2024arXiv:2401.03145

#40

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Yuanpeng Tu, Boshen Zhang, Liang Liu et al.

industrial anomaly detectionmulti-modal anomaly detectionself-supervised feature adaptationdomain gap adaptation+3

24

AAAI 2024arXiv:2312.07871

#41

MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation

Yanzuo Lu, Meng Shen, Andy J Ma et al.

universal domain adaptationinvariant feature learningneighborhood invariancecross-domain mixup+4

23

CVPR 2024arXiv:2308.12462

#42

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.

23

AAAI 2025arXiv:2403.02084

#43

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models

Jiaxiang Cheng, Pan Xie, Xin Xia et al.

resolution adaptationdiffusion modelstext-to-image generationpersonalized image generation+4

23

CVPR 2024arXiv:2402.02887

#44

Multi-Domain Incremental Learning for Face Presentation Attack Detection

Keyao Wang, Guosheng Zhang, Haixiao Yue et al.

Time- Memory- and Parameter-Efficient Visual Adaptation

Otniel-Bogdan Mercea, Alexey Gritsenko, Cordelia Schmid et al.

22

ICLR 2024arXiv:2310.18913

#46

Debiasing Algorithm through Model Adaptation

Tomasz Limisiewicz, David Mareček, Tomáš Musil

22

ECCV 2024arXiv:2407.13588

#47

Robust Calibration of Large Vision-Language Adapters

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed et al.

vision-language modelsmodel calibrationout-of-distribution robustnessclip adaptation+4

22

ECCV 2024arXiv:2310.08820

#48

Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Xidong Peng, Runnan Chen, Feng Qiao et al.

unsupervised domain adaptation3d segmentationpoint cloud datalidar point clouds+4

21

ICLR 2025arXiv:2410.08258

#49

In Search of Forgotten Domain Generalization

Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer et al.

21

CVPR 2024arXiv:2405.19899

#50

Open-Set Domain Adaptation for Semantic Segmentation

Seun-An Choe, Ah-Hyung Shin, Keon Hee Park et al.

20

ECCV 2024arXiv:2407.07586

#51

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights

Yan Hao, Florent Forest, Olga Fink

source-free domain adaptationobject detectionteacher-student architecturespseudo-label selection+3

20

ICLR 2024arXiv:2405.02797

#52

Adapting to Distribution Shift by Visual Domain Prompt Generation

Zhixiang Chi, Li Gu, Tao Zhong et al.

20

CVPR 2024arXiv:2403.06946

#53

Improved Self-Training for Test-Time Adaptation

Jing Ma

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation

Xinyao Li, Yuke Li, Zhekai Du et al.

unsupervised domain adaptationvision-language modelsmodality gapmodality separation+3

AAAI 2024arXiv:2403.05062

#55

Agile Multi-Source-Free Domain Adaptation

Xinyao Li, Jingjing Li, Fengling Li et al.

CVPR 2025arXiv:2406.14235

#56

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation

Jiaming Zhou, Teli Ma, Kun-Yu Lin et al.

visual representation learningrobotic manipulationdomain adaptationcontrastive alignment+3

ICML 2025arXiv:2502.02017

#57

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Shuo Wang, Bokui Wang, Zhixiang Shen et al.

graph foundation modelstopology alignmentknowledge transfermulti-domain pre-training+4

ECCV 2024arXiv:2403.17369

#58

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

Ziyang Gong, FuHao Li, Yupeng Deng et al.

unsupervised domain adaptationadverse scene adaptationvisual prompt tuningchain-of-domain adaptation+3

18

CVPR 2024arXiv:2312.02238

#59

X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model

Lingmin Ran, Xiaodong Cun, Jia-Wei Liu et al.

18

CVPR 2024arXiv:2312.16279

#60

Cloud-Device Collaborative Learning for Multimodal Large Language Models

Guanqun Wang, Jiaming Liu, Chenxuan Li et al.

18

ICLR 2024arXiv:2302.02609

#61

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

17

CVPR 2024arXiv:2403.15605

#62

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization

Khiem Le, Tuan Long Ho, Cuong Do et al.

federated domain generalizationnormalization layersdomain shiftprivacy-preserving learning+3

17

AAAI 2024arXiv:2401.10272

#63

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

17

AAAI 2024arXiv:2401.00617

#64

Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation

Li Ren, Chen Chen, Liqiang Wang et al.

deep metric learningproxy-based learningdomain adaptationembedding space alignment+4

16

CVPR 2024arXiv:2312.08875

#65

What How and When Should Object Detectors Update in Continually Changing Test Domains?

Jayeon Yoo, Dongkwan Lee, Inseop Chung et al.

test-time adaptationobject detectiondomain shiftonline adaptation+3

16

CVPR 2024arXiv:2406.06820

#66

Adapters Strike Back

Jan-Martin Steitz, Stefan Roth

16

ICLR 2024arXiv:2309.05527

#67

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Bo Zhang, Xinyu Cai, Jiakang Yuan et al.

15

ICLR 2025arXiv:2410.03735

#68

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling

David Grangier, Simin Fan, Skyler Seto et al.

15

ICLR 2024arXiv:2402.17316

#69

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang et al.

15

NEURIPS 2025arXiv:2507.09404

#70

Scaling Laws for Optimal Data Mixtures

Mustafa Shukor, Louis Bethune, Dan Busbridge et al.

14

ICLR 2024arXiv:2305.18712

#71

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?

JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.

14

ECCV 2024arXiv:2311.18815

#72

IMMA: Immunizing text-to-image Models against Malicious Adaptation

Amber Yijia Zheng, Raymond Yeh

14

CVPR 2024arXiv:2402.17562

#73

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

George Eskandar

3d object detectionlidar sensorsdomain generalizationtransformer backbones+4

13

CVPR 2024arXiv:2404.00095

#74

GDA: Generalized Diffusion for Robust Test-time Adaptation

Yun-Yun Tsai, Fu-Chen Chen, Albert Chen et al.

13

CVPR 2024arXiv:2405.14873

#75

Federated Online Adaptation for Deep Stereo

Matteo Poggi, Fabio Tosi

13

ICLR 2025arXiv:2406.01658

#76

Proxy Denoising for Source-Free Domain Adaptation

Song Tang, Wenxin Su, Yan Gan et al.

source-free domain adaptationvision-language modelsproxy denoisingdomain-invariant space+3

CVPR 2024arXiv:2403.09359

#77

D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection

Dinh Phat Do, Taehoon Kim, JAEMIN NA et al.

ICLR 2025arXiv:2504.15369

#78

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Pengyue Jia, Yichao Wang, Shanru LIN et al.

Solving New Tasks by Adapting Internet Video Knowledge

Calvin Luo, Zilai Zeng, Yilun Du et al.

video generative modelsrobotic visual planningtext-conditioned generalizationin-domain adaptation+3

ECCV 2024arXiv:2407.13771

#80

Training-Free Model Merging for Multi-target Domain Adaptation

Wenyi Li, Huan-ang Gao, Mingju Gao et al.

model mergingmulti-target domain adaptationscene understandingnormalization layer statistics+4

CVPR 2024arXiv:2403.04492

#81

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning

Rashindrie Perera, Saman Halgamuge

AAAI 2024arXiv:2311.15570

#82

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou et al.

AAAI 2024arXiv:2401.07459

#83

Cycle Self-Refinement for Multi-Source Domain Adaptation

Chaoyang Zhou, Zengmao Wang, Bo Du et al.

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Xin Yang, Wending Yan, Yuan Yuan et al.

semantic segmentationadverse weather conditionsunsupervised domain adaptationcontinual domain adaptation+4

CVPR 2025arXiv:2410.00911

#85

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye et al.

CVPR 2025arXiv:2503.09248

#86

Bayesian Test-Time Adaptation for Vision-Language Models

Lihua Zhou, Mao Ye, Shuaifeng Li et al.

test-time adaptationvision-language modelsbayesian inferencezero-shot classification+4

ICLR 2025arXiv:2502.06808

#87

On the Benefits of Attribute-Driven Graph Domain Adaptation

Ruiyi Fang, Bingheng Li, zhao kang et al.

graph domain adaptationnode attribute alignmentcross-network learningstructural divergence+4

ICLR 2024arXiv:2401.10848

#88

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation

Prakhar Kaushik, Aayush Mishra, Adam Kortylewski et al.

CVPR 2024arXiv:2403.18442

#89

Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency

Fuhao Li, Ziyang Gong, Yupeng Deng et al.

Backpropagation-free Network for 3D Test-time Adaptation

YANSHUO WANG, Ali Cheraghian, Zeeshan Hayder et al.

ICML 2024arXiv:2405.01468

#91

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models

Yifei Ming, Sharon Li

retrieval-augmented adaptationvision-language modelscontrastive pre-trainingcross-modal retrieval+3

ECCV 2024arXiv:2407.18899

#92

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu et al.

domain adaptationsource-free adaptationactive learningcontrastive sampling+4

CVPR 2025arXiv:2412.04077

#93

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning

Seokju Yun, Seunghye Chae, Dongheon Lee et al.

domain generalizationparameter efficient fine tuningsingular value decompositionsemantic segmentation+4

ICLR 2025arXiv:2406.18516

#94

Symmetric Self-Paced Learning for Domain Generalization

Di Zhao, Yun Sing Koh, Gillian Dobbie et al.

Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

Kang Liao, Zongsheng Yue, Zhouxia Wang et al.

ICLR 2025arXiv:2506.17307

#96

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Zhixiang Chi, Li Gu, Huan Liu et al.

few-shot adaptationtest-time domain adaptationdomain shiftfrozen clip+4

ICLR 2025arXiv:2411.05877

#97

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

Tong Chen, Hao Fang, Patrick Xia et al.

language model adaptationlow-rank adaptersself-supervised learningknowledge acquisition+4

AAAI 2024arXiv:2403.17374

#98

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee et al.

multi-domain recommendationdomain preference modelingmasked domain modelingcross-domain knowledge transfer+2

AAAI 2025arXiv:2503.04144

#99

DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval

Yating Liu, Zimo Liu, Xiangyuan Lan et al.

text-based person retrievalparameter-efficient transfer learningmixture-of-expertsvision-language pretraining+3

AAAI 2025arXiv:2412.11654

#100

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation

Wei Chen, Guo Ye, Yakun Wang et al.

graph domain adaptationstructural distribution shiftsgraph neural networksnode embeddings+4

9