Cross-Domain Transfer Learning

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14 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
May 24, 2026Zhongjian Qiao, Jiafei Lyu, Chenjia Bai +3Offline RL Cross-Domain Transfer Learning
City University of Hong Kong · Tencent · Institute of Artificial Intelligence (TeleAI), China Telecom +1
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
May 22, 2026Siqi Li, Chuan Hong, Ziye Tian +9Healthcare Clinical Outcome Prediction
Centre for Biomedical Data Science, Duke-NUS Medical School, Singapore · 2Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore · Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA +13
Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
May 22, 2026Zixuan Hu, Xuantuo Huang, Yancheng Li +3VLM Adaptation Continual Test-Time Adaptation
School of Computer Science, Peking University, Beijing, China · School of Electronics, Peking University, Beijing, China · Peng Cheng Laboratory, Shenzhen, China
RADAR: Relative Angular Divergence Across Representations
May 21, 2026Xavier Cadet, Mateusz Nowak, Peter ChinRepresentation Geometry Task Transferability Estimation
Dartmouth College
Cross-Domain Human Action Recognition from Multiview Motion and Textual Descriptions
May 21, 2026Yannick Porto, Renato Martins, Thomas Chalumeau +1Zero-Shot Learning Human Activity Recognition
Université Bourgogne Europe, CNRS – France · TEB Group, Prynel SAS – France
Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning
May 21, 2026Wei Liu, Ting LongOffline RL Cross-Domain Transfer Learning
School of Artificial Intelligence Jilin University China
S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs
May 18, 2026Yuhan Wang, Haopeng Zhang, Yibo Ding +6Cross-Modal Alignment Text-Attributed Graph Learning
Beihang University, Beijing, China · Tianjin University, Tianjin, China
Transfer Learning for Customized Car Racing Environments
May 18, 2026Benedict Florance Arockiaraj, Richard Chang, Wesley YeeAutonomous Racing Cross-Domain Transfer Learning
SEAS
CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
May 15, 2026Peiyuan Li, Yongqi Huang, Jitao Zhao +3Heterogeneous GNNs Few-Shot Learning
School of Computer Science and Technology, Tianjin University, Tianjin, China · Department of Health Technology and Informatics, and Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
May 13, 2026Haonan Yuan, Qingyun Sun, Junhua Shi +3Domain-Adaptive Pretraining Prompt Tuning
Neural Video Compression with Domain Transfer
May 13, 2026Tiange Zhang, Rongqun Lin, Xiandong Meng +4Test-Time Adaptation Cross-Domain Transfer Learning
Shenzhen Graduate School, Peking University, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · School of Computer Science, Peking University, Beijing, China
Generative Support Realignment for Cross-Domain Offline Reinforcement Learning
May 13, 2026Minung Kim, Jeongmo Kim, Gwanwoo Choi +1Offline RL Cross-Domain Transfer Learning
Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology (UNIST)
A Transfer Learning Evaluation of Deep Neural Networks for Image Classification
May 12, 2026Nermeen Abou Baker, Nico Zengeler, Uwe HandmannFine-Tuning Cross-Domain Transfer Learning
Computer Science Institute, Ruhr West University of Applied Sciences, 46236 Bottrop, Germany
Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition
May 11, 2026Yu-Fang Tsai, Yu-Jen Chen, Kok-Hua Tan +5Distribution Shift Robustness SHAP Feature Attribution
Department of Kinesiology, National Tsing Hua University, Hsinchu, Taiwan · Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan · Physical Education Office, National Tsing Hua University, Hsinchu, Taiwan +4
TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma
May 10, 2026JC Wu, Norton Lee, Kai Siang ChenTime Series Classification Cross-Domain Transfer Learning
TaiScience Research Group, affiliated with Fu Jen Catholic University, Taiwan · Center for Geometry and Physics, Institute for Basic Science (IBS), South Korea · Fu Jen Catholic University, Taiwan
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
May 9, 2026Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5Manufacturing Industrial Anomaly Detection
1Cairo University · 2Forgis · 3ETH Zurich +3
Transfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
May 8, 2026Matthias Schott, Lucie FlekDomain Adaptation High-Energy Physics
Institute of Physics, University of Bonn, Germany · Bonn-Aachen International Center for Information Technology (b-it), University of Bonn, Germany
Knowledge Transfer Scaling Laws for 3D Medical Imaging
May 7, 2026Ho Hin Lee, Dongna Du, Chu Wang +4Medical Imaging Foundation Models 3D Medical Imaging
Vanderbilt University · Zhejiang University · McGill University +1
Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
May 7, 2026Wenhan Zheng, Yuyi Mao, Ivan Wang-Hei HoAdaptive Inference Human Activity Recognition
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong · School of Computer Science and Engineering, The Macau University of Science and Technology, Macau
YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts
May 6, 2026Zesen Wang, Zihao Wu, Yue Hu +2Cross-Domain Transfer Learning Bearing Fault Diagnosis
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China
SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
May 5, 2026Ruichu Cai, Juntao Gan, Miao Mai +2Named Entity Recognition Cross-Domain Transfer Learning
School of Computer Science, Guangdong University of Technology · Peng Cheng Laboratory · Nanfang Media Group(Nanfang Daily) +1
One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation
May 4, 2026Nathan Molinier, Hendrik Möller, Thomas Dagonneau +6Cross-Modality Medical Image Segmentation Data Augmentation
NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal · Mila – Quebec AI Institute · Department for Interventional and Diagnostic Neuroradiology, TUM UniversityMay Hospital +3
Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks
May 4, 2026William Lehn-Schiøler, Magnus Ruud Kjær, Phillip Hempel +7Self-Supervised Time Series Representation Learning Cross-Domain Transfer Learning
BrainCapture ApS, Kongens Lyngby, Denmark · DTU Health Tech, Technical University of Denmark, Kongens Lyngby, Denmark · DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark +4
Meta-LegNet: A Transferable and Interpretable Framework for Surface Adsorption Prediction via Self-Defined Adsorption-Environment Learning
May 3, 2026Yifan Li, Arravind Subramanian, Xiaoqing Liu +3Geometric Representation Learning Cross-Domain Transfer Learning
Department of Mechanical Engineering,National University of Singapore, 117575, SG · Department of Chemical and Biomolecular Engineering,National University of Singapore, 117575, SG
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection
May 2, 2026Ceausescu Ciprian-Mihai, Anghelina Ion-Marian, Alexe Dumitru-BogdanMulti-Task Learning Medical Image Classification
Faculty of Mathematics and Computer Science, University of Bucharest, Str. Academiei, 14, Bucharest, 010014, Romania · Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Romania, Calea 13 Septembrie, 13, Bucharest, 050711, Romania
Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment
May 1, 2026Ziyu Zheng, Yaming Yang, Zhe Wang +2Heterogeneous GNNs Cross-Domain Transfer Learning
School of Computer Science and Technology, Xidian University, Xi’an, China 710071
Label-Conditioned Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Curriculum-Gated Contrastive Alignment
May 1, 2026Xinran Liu, Yuwen Li, Hongxiang Gao +4Electrocardiography Cross-Modal Alignment
School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Nanjing, China · Nanjing Medical University, Nanjing 211166, Nanjing, China · Zhengzhou University, Zhengzhou 450001, Zhengzhou, China
Advancing multi-site emission control: A physics-informed transfer learning framework with mixture of experts for carbon-pollutant synergy
Apr 29, 2026Yuxuan Ying, Hanqing Yang, Kaige Wang +6Cross-Domain Transfer Learning Physics-Informed ML
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, 310023, China. · Alibaba Group, Hangzhou, 311100, China. · School of Computer Science and Technology, Zhejiang Normal University, Hangzhou, 311231, China. +2
Cross-Domain Transfer of Hyperspectral Foundation Models
Apr 29, 2026Nick Theisen, Peer NeubertRemote Sensing Image Segmentation Hyperspectral Imaging
Intelligent Autonomous Systems, University of Koblenz, Germany
Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems
Apr 28, 2026Luyao WangDomain Adaptation Network Intrusion Detection
University of Malaya Malaysia

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Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets

Zhongjian Qiao, Jiafei Lyu, Chenjia Bai, Peisong Wang+2

City University of Hong Kong · Tencent · Institute of Artificial Intelligence (TeleAI), China Telecom+1

Offline RL Cross-Domain Transfer Learning

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Cross-domain offline reinforcement learning (RL) aims to learn a policy in the target domain with a limited target domain dataset and a source domain dataset that exhibits a dynamics shift. Training directly on the original source dataset typically leads to performance collapse. Recent studies perform data filtering from the perspective of dynamics alignment or value alignment to enable efficient policy transfer. However, these studies are typically validated on single-domain or single-behavior-policy source datasets. In this work, we explore a more general heterogeneous cross-domain offline RL setting, where the source datasets may be collected from multiple source domains by diverse behavior policies. We first uncover a critical yet overlooked issue in this setting: value misassignment. Empirically and theoretically, we demonstrate that value misassignment can undermine value alignment, mislead data filtering toward selecting suboptimal samples, and loosen the suboptimality gap, thereby degrading the agent's performance. To address this issue, we propose V2A, which integrates dynamics alignment, value alignment, and value assignment. V2A first employs temporally-consistent modality representation learning to extract dynamics modalities from the source dataset, followed by modality-aware advantage learning to rectify value alignment. Finally, it adopts a data filtering paradigm to selectively share source data for policy learning. Empirical results show that V2A significantly outperforms strong baseline methods under general heterogeneous cross-domain offline RL settings.

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