Transfer Learning

ECCV 2024arXiv:2407.05342

#2

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models

Longxiang Tang, Zhuotao Tian, Kai Li et al.

40

AAAI 2024arXiv:2312.10165

#3

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

AAAI 2024arXiv:2310.07730

#4

Domain-Controlled Prompt Learning

Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.

prompt learningvision-language modelsdomain adaptationremote sensing images+3

32

CVPR 2024arXiv:2311.12905

#5

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:2404.07155

#6

Unified Language-driven Zero-shot Domain Adaptation

Senqiao Yang, Zhuotao Tian, Li Jiang et al.

31

CVPR 2024arXiv:2405.14077

#7

Learning to Transform Dynamically for Better Adversarial Transferability

Rongyi Zhu, Zeliang Zhang, Susan Liang et al.

31

ECCV 2024arXiv:2407.05005

#8

Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching

Yichen Li, Wenchao Xu, Haozhao Wang et al.

federated learningdomain-incremental learningknowledge matchingpersonalized federated learning+4

29

ICML 2024arXiv:2405.15369

#9

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Jing Liu, Lele Sun, Wei-zhi Nie et al.

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

CVPR 2024arXiv:2308.12462

#11

Multi-Domain Incremental Learning for Face Presentation Attack Detection

Keyao Wang, Guosheng Zhang, Haixiao Yue et al.

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.

23

CVPR 2024arXiv:2403.00567

#13

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning

Yixiong Zou, Yicong Liu, Yiman Hu et al.

cross-domain few-shot learningloss landscape analysisrepresentation space optimizationparameter space analysis+4

23

AAAI 2024arXiv:2312.14990

#14

Learning to Prompt Knowledge Transfer for Open-World Continual Learning

Yujie Li, Xin Yang, Hao Wang et al.

continual learningopen-world learningknowledge transferprompt learning+4

23

CVPR 2024arXiv:2403.15760

#15

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

Jianqing Zhang, Yang Liu, Yang Hua et al.

21

AAAI 2024arXiv:2312.08984

#16

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Yabing Wang, Fan Wang, Jianfeng Dong et al.

20

ICLR 2024arXiv:2405.02797

#17

Adapting to Distribution Shift by Visual Domain Prompt Generation

Zhixiang Chi, Li Gu, Tao Zhong et al.

20

ICML 2025arXiv:2502.02017

#18

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

19

CVPR 2025arXiv:2406.14235

#19

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

19

AAAI 2024arXiv:2403.05062

#20

Agile Multi-Source-Free Domain Adaptation

Xinyao Li, Jingjing Li, Fengling Li et al.

19

AAAI 2024arXiv:2401.10272

#21

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

17

ICLR 2024arXiv:2302.02609

#22

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

17

ICLR 2024arXiv:2310.17653

#23

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

Karsten Roth, Lukas Thede, A. Sophia Koepke et al.

17

ICLR 2024arXiv:2310.11451

#24

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Ming Zhong, Chenxin An, Weizhu Chen et al.

16

ECCV 2024arXiv:2403.09296

#25

Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models

Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.

vision-language modelscontinual learningknowledge distillationcatastrophic forgetting+3

16

AAAI 2024arXiv:2312.16467

#26

Transfer and Alignment Network for Generalized Category Discovery

Wenbin An, Feng Tian, Wenkai Shi et al.

16

ICLR 2025arXiv:2410.01335

#27

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj et al.

model mergingzero-shot cross-lingual transferlarge language modelsmathematical reasoning+3

15

ICLR 2024arXiv:2309.05527

#28

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

Bo Zhang, Xinyu Cai, Jiakang Yuan et al.

15

AAAI 2025arXiv:2502.18510

#29

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

Chuanguang Yang, XinQiang Yu, Han Yang et al.

15

domain incremental learningcatastrophic forgettingnon-exemplar learningcross-domain integration+3

#30

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

Qiang Wang, Yuhang He, Songlin Dong et al.

ECCV 2024

14

ICML 2024arXiv:2406.07236

#31

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

unsupervised transferzero-shot transferfoundation modelsvision-language models+3

14

ICML 2025arXiv:2406.10973

#32

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts

Samar Khanna, Medhanie Irgau, David Lobell et al.

14

CVPR 2024arXiv:2405.05588

#33

Model Inversion Robustness: Can Transfer Learning Help?

Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran et al.

13

ICML 2024arXiv:2311.18237

#34

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models

Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri et al.

knowledge transfervision foundation modelstask-specific modelslimited labeled data+4

13

CVPR 2024arXiv:2403.09359

#35

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

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

12

ECCV 2024arXiv:2407.13771

#36

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

12

CVPR 2025arXiv:2410.00911

#37

Cycle Self-Refinement for Multi-Source Domain Adaptation

Chaoyang Zhou, Zengmao Wang, Bo Du et al.

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

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

11

ICML 2025arXiv:2506.09022

#39

Do Multiple Instance Learning Models Transfer?

Daniel Shao, Richard Chen, Andrew Song et al.

11

ICML 2024arXiv:2405.06192

#40

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning

Xiaoyu Wen, Chenjia Bai, Kang Xu et al.

contrastive representation learningcross-domain reinforcement learningoffline reinforcement learningdynamics mismatch+3

graph foundation modelsmulti-domain graph learningtransferable knowledge boundsdomain-invariant feature alignment+4

#41

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees

Haonan Yuan, Qingyun Sun, Junhua Shi et al.

ICML 2025

AAAI 2024arXiv:2403.17374

#42

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

ICLR 2025arXiv:2506.17307

#43

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

ECCV 2024arXiv:2407.20657

#44

Symmetric Self-Paced Learning for Domain Generalization

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

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

9

COLM 2025arXiv:2406.16135

#46

Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models

Lynn Chua, Badih Ghazi, Yangsibo Huang et al.

Large Language ModelsMultilingualCrosslingual Knowledge Barrier

9

AAAI 2024arXiv:2401.08464

#47

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.

ICML 2024arXiv:2406.07337

#48

Transferring Knowledge From Large Foundation Models to Small Downstream Models

Shikai Qiu, Boran Han, Danielle Robinson et al.

knowledge transferfoundation modelsfeature transferdownstream tasks+3

ICML 2024arXiv:2406.16231

#49

Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method

Jeeveswaran Kishaan, Elahe Arani, Bahram Zonooz

domain incremental learningcatastrophic forgettingrepresentation driftfeature space adaptation+2

ICML 2024arXiv:2206.04277

#50

On Hypothesis Transfer Learning of Functional Linear Models

Haotian Lin, Matthew Reimherr

transfer learningfunctional linear regressionreproducing kernel hilbert spacehypothesis transfer learning+2

AAAI 2025arXiv:2404.13322

#51

MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities

Kunxi Li, Tianyu Zhan, Kairui Fu et al.

knowledge transferheterogeneous modelsparameter adapterlow-rank parameters+4

AAAI 2024arXiv:2312.11260

#52

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

YongJin Yang, Taehyeon Kim, Se-Young Yun

cross-domain few-shot learningnormalization layer adaptersprogressive learningadaptive distillation+4

NEURIPS 2025arXiv:2506.09251

#53

Extrapolation by Association: Length Generalization Transfer In Transformers

Ziyang Cai, Nayoung Lee, Avi Schwarzschild et al.

length generalizationtask associationtransformer language modelsalgorithmic tasks+3

ICML 2024arXiv:2406.18864

#54

Learning Modality Knowledge Alignment for Cross-Modality Transfer

Wenxuan Ma, Shuang Li, Lincan Cai et al.

cross-modality transfermodality gapknowledge alignmentmeta-learning+4

ICML 2024arXiv:2305.00664

#55

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs

Haohui Wang, Yuzhen Mao, Yujun Yan et al.

non-iid transfer learningdynamic graph learningdomain adaptationtemporal encoding+3

ECCV 2024arXiv:2401.06826

#56

Direct Distillation between Different Domains

Jialiang Tang, Shuo Chen, Gang Niu et al.

knowledge distillationdomain adaptationfourier transformdomain-invariant knowledge+3

ICLR 2025arXiv:2407.10804

#57

On the Transfer of Object-Centric Representation Learning

Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal et al.

Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment

Jinhao Jiang, Junyi Li, Xin Zhao et al.

ECCV 2024arXiv:2311.10845

#59

Domain Generalization of 3D Object Detection by Density-Resampling

Shuangzhi Li, Lei Ma, Xingyu Li

3d object detectiondomain generalizationpoint cloud datadensity-based augmentation+4

ICML 2024arXiv:2403.05535

#60

Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos

Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker

domain adaptationlanguage guidancecross-modal transferunsupervised adaptation+2

CVPR 2024arXiv:2403.18469

#61

Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds

Zhimin Yuan, Wankang Zeng, Yanfei Su et al.

unsupervised domain adaptation3d point cloud segmentationsynthetic-to-real translationdensity-guided translation+3

ICML 2025arXiv:2503.04429

#62

Activation Space Interventions Can Be Transferred Between Large Language Models

Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash et al.

AAAI 2025arXiv:2412.09388

#63

All You Need in Knowledge Distillation Is a Tailored Coordinate System

Junjie Zhou, Ke Zhu, Jianxin Wu

ICML 2025arXiv:2410.08194

#64

Features are fate: a theory of transfer learning in high-dimensional regression

Javan Tahir, Surya Ganguli, Grant Rotskoff

NEURIPS 2025arXiv:2509.19626

#65

EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data

Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa et al.

domain adaptationimitation learningegocentric datarobotic manipulation+4

ICLR 2025arXiv:2412.02856

#66

Is Large-scale Pretraining the Secret to Good Domain Generalization?

Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis et al.

domain generalizationmulti-source trainingpretrained backbonesalignment hypothesis+4

NEURIPS 2025arXiv:2506.23434

#67

Towards foundational LiDAR world models with efficient latent flow matching

Tianran Liu, Shengwen Zhao, Nicholas Rhinehart

lidar world modelsdomain transferlatent flow matchingsemantic occupancy forecasting+4

vision-language modelscontinual learningcatastrophic forgettingzero-shot transfer+3

#68

Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models

MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.

ECCV 2024

AAAI 2024arXiv:2402.07418

#69

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

ICLR 2024arXiv:2310.07838

#70

Towards the Fundamental Limits of Knowledge Transfer over Finite Domains

Qingyue Zhao, Banghua Zhu

5

AAAI 2025arXiv:2501.15052

#71

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval

Bingjun Luo, Jinpeng Wang, Zewen Wang et al.

text-to-image retrievalperson retrievalunsupervised domain adaptationcross-dataset learning+4

5

ECCV 2024arXiv:2407.08245

#72

Feature Diversification and Adaptation for Federated Domain Generalization

Seunghan Yang, Seokeon Choi, Hyunsin Park et al.

federated learningdomain shiftfeature diversificationdomain generalization+3

5

ICLR 2025arXiv:2504.01521

#73

Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model

Jincheng Zhong, XiangCheng Zhang, Jianmin Wang et al.

ICLR 2024arXiv:2305.14122

#74

Transferring Learning Trajectories of Neural Networks

Daiki Chijiwa

AAAI 2024arXiv:2309.10302

#75

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Ximei Wang, Junwei Pan, Xingzhuo Guo et al.

multi-domain learningdataset biasdomain dominationdomain-specific towers+4

CVPR 2025arXiv:2411.11223

#76

Efficient Transfer Learning for Video-language Foundation Models

Haoxing Chen, Zizheng Huang, Yan Hong et al.

ICLR 2024arXiv:2212.01168

#77

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

Yeongwoo Song, Hawoong Jeong

ICLR 2024arXiv:2403.07030

#78

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

Zihao Tang, Zheqi Lv, Shengyu Zhang et al.

knowledge distillationdata-free learningout-of-domain transfermixup generation+3

NEURIPS 2025arXiv:2506.02935

#79

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver

yuepeng zheng, Fu Luo, Zhenkun Wang et al.

ICML 2025arXiv:2505.24844

#80

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Wanyun Xie, Francesco Tonin, Volkan Cevher

ICML 2025arXiv:2502.08075

#81

Knowledge Swapping via Learning and Unlearning

Mingyu Xing, Lechao Cheng, Shengeng Tang et al.

AAAI 2024arXiv:2402.18449

#82

HOP to the Next Tasks and Domains for Continual Learning in NLP

Umberto Michieli, Mete Ozay

AAAI 2025arXiv:2412.15835

#83

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

Xinyue Chen, Miaojing Shi, Zijian Zhou et al.

semantic segmentationfew-shot learningknowledge transferprototype modulation+3

ICCV 2025arXiv:2507.03304

#84

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Hai Huang, Yan Xia, Sashuai Zhou et al.

ICLR 2025arXiv:2504.00691

#85

ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts

Yuanchen Wu, Junlong Du, Ke Yan et al.

NEURIPS 2025arXiv:2506.05198

#86

Quantifying Cross-Modality Memorization in Vision-Language Models

Yuxin Wen, Yangsibo Huang, Tom Goldstein et al.

NEURIPS 2025arXiv:2509.18631

#87

Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training

Shuo Cheng, Liqian Ma, Zhenyang Chen et al.

AAAI 2024arXiv:2312.13495

#88

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang et al.

machine unlearningdomain adversarial trainingrepresentation erasuregradient reversal+3

#89

Selective Unlearning via Representation Erasure Using Domain Adversarial Training

Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.

ICLR 2025

AAAI 2025arXiv:2509.04535

#90

Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation

Yuwu Lu, Xue Hu, Waikeung Wong et al.

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

CVPR 2025arXiv:2503.13012

#92

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

Xingguo Lv, Xingbo Dong, Liwen Wang et al.

domain generalizationtest-time adaptationmedical image segmentationmulti-graph matching+3

AAAI 2024arXiv:2307.05209

#93

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.

reward machinesdeep reinforcement learningtransfer learningsymbolic representations+3

NEURIPS 2025arXiv:2506.05579

#94

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration

Quan Shi, Carlos Jimenez, Shunyu Yao et al.

ICCV 2025arXiv:2510.17384

#95

Closed-Loop Transfer for Weakly-supervised Affordance Grounding

Jiajin Tang, Zhengxuan Wei, Ge Zheng et al.

affordance groundingcross-modal localizationknowledge distillationegocentric vision+4

AAAI 2024arXiv:2403.04158

#96

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

ICCV 2025arXiv:2501.08885

#97

Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation

Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu et al.

NEURIPS 2025arXiv:2505.18832

#98

Localizing Knowledge in Diffusion Transformers

Arman Zarei, Samyadeep Basu, Keivan Rezaei et al.

knowledge localizationdiffusion transformersmodel interpretabilitymodel personalization+3

ICLR 2025arXiv:2504.09205

#99

Query-based Knowledge Transfer for Heterogeneous Learning Environments

Norah Alballa, Wenxuan Zhang, Ziquan Liu et al.

knowledge transferheterogeneous learning environmentsfederated learningdecentralized collaborative learning+4

ICML 2025arXiv:2502.01804

#100

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging

Pierre Ablin, Angelos Katharopoulos, Skyler Seto et al.

parameter averagingspecialist modelsdomain adaptationlanguage modeling+2