Domain Adaptation

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Period ending 2026-09-21

17 new papers

A weekly snapshot of new work published in Domain Adaptation.

Period ending 2026-09-14

15 new papers

A weekly snapshot of new work published in Domain Adaptation.

Period ending 2026-09-07

18 new papers

A weekly snapshot of new work published in Domain Adaptation.

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  1. DCP-Prune: Ultra-Low Token Pruning with Distribution Consistency Preservation

    Jun 15, 2026Xifeng Xue, Xiaokang Wang, Zirui Li +2Visual Token PruningHeterogeneous Pruning Scores

  2. PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift

    Jun 14, 2026Jeffery Opoku, David BanaheneConformal Risk ControlWireless Foundation Models

  3. A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt

    Jun 14, 2026Tomoya WakayamaDistribution ShiftsBayesian

  4. Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)

    Jun 13, 2026Pengxiao Han, Changkun Ye, Yanshuo Wang +5Domain AdaptationDomain Shift

  5. Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection

    Jun 13, 2026Elham Abolhasani, Maryam Ramezani, Hamid R. RabieeDomain AdaptationEnsemble

  6. Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery

    Jun 13, 2026Felix Stillger, Ben Hamscher, Lukas Hahn +3Synthetic-To-Real Domain GapDense Semantic Segmentation

  7. Polyp-D2ATL: Deep Domain-Adaptive Transfer Learning for Colorectal Polyp Classification under Label Distribution Shift

    Jun 12, 2026Sajad Jabarzadeh Ghandilu, Maryam Sadat Hosseini Azad, Shahriar Baradaran Shokouhi +1Polyp SegmentationDistribution Shifts

  8. Audited Conformal Prediction for Classification under Unknown Distribution Shift

    Jun 12, 2026Yanfei Zhou, Rizal Fathony, Nam H. Nguyen +1Conformal PredictionDistribution Shifts

  9. Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias

    Jun 12, 2026Annie Ulichney, Amanda CostonCovariate ShiftSelection Bias

  10. From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

    Jun 12, 2026Yongheng Zhang, Ziang Liu, Jiaxuan Zhu +17ChatbotsArtificial Intelligence Systems

  11. Anytime-Valid Confirmation of Label-Shift Corrections

    Jun 12, 2026Seungjin ChoiDomain ShiftLikelihood

  12. Geometric Domain Adaptation via Optimal Transport for Linear Regression in R^2

    Jun 12, 2026Brian Britos, Mathias BourelDomain AdaptationOptimal Transport

  13. GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging

    Jun 11, 2026Chen Zhao, Huan Huang, Yixin Xie +2AlzheimerHuman Brain Networks

  14. Loss-Shift Transfer via Bayes Quotients

    Jun 11, 2026Vasileios SevetlidisDistribution ShiftsLoss Function

  15. How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings?

    Jun 10, 2026Julia Kostin, Kasra Jalaldoust, Elias Bareinboim +2Causal InferencesDomain Adaptation

  16. Policy-driven Conformal Prediction for Trustworthy QoT Estimation

    Jun 10, 2026Kiarash Rezaei, Omran Ayoub, Paolo Monti +1Conformal PredictionConformal Calibration

  17. Bridging Day and Night: Unsupervised Cross-Domain Re-Identification with Synergistic Prompt and Prototype Learning

    Jun 10, 2026Jiyang Xu, Rui Liu, Hang DaiRe-IdentificationDomain Adaptation

  18. Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers

    Jun 10, 2026Jun Wen LeongDistribution ShiftsAttack Detection

  19. Conformal Bayes under Label Shift: Post-Hoc Calibration vs. In-Training Adaptation

    Jun 10, 2026Seungjin ChoiConformal InferenceConformal Calibration

  20. Gumbel-BEARD: Automatic Layer Selection for Self-Supervised Adaptation of Whisper in Low-Resource Domains

    Jun 9, 2026Zilai Wang, Natarajan Balaji Shankar, Mohan Shi +2Speech EncoderDomain Adaptation

  21. Generalized Conformal Predictive Systems Under Distributional Shifts

    Jun 9, 2026Jef Jonkers, Johanna ZiegelConformal PredictionDistribution Shifts

  22. GUI-AC: Enhancing Continual Learning in GUI Agents

    Jun 9, 2026Can Lin, Tao Feng, Hangjie Yuan +3Graphical User Interface AgentsReinforcement Fine-Tuning

  23. A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport

    Jun 8, 2026Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney +1Attack DetectionAnomaly Score

  24. Rethinking the Divergence Regularization in LLM RL

    Jun 8, 2026Jiarui Yao, Xiangxin Zhou, Penghui Qi +3Trust RegionBregman Divergences

  25. Assessing Sample Quality in Conditional Generation under Compositional Shift

    Jun 8, 2026Berker Demirel, Valentino Maiorca, Marco Fumero +2High-Fidelity Conditional GenerationConditional Distribution

  26. Optical Music Recognition for Real-World Manuscripts with Synthetic Data

    Jun 8, 2026Jiří Mayer, Martina Dvořáková, Vojtěch Dvořák +6Sheet MusicPiano

  27. Heterogeneous 2D/1D Signal Representation Fusion for Underwater Acoustic Modulation Recognition Under Distribution Shift

    Jun 8, 2026Ronglai Qian, Liang An, Xiaoyan Wang +3Automatic Modulation ClassificationUnderwater Image Enhancement

  28. Hierarchical Projection for Adaptive Knowledge Transfer

    Jun 7, 2026Samhita Pal, Tian GuCross-Task Knowledge TransferTransfer Learning

  29. One Stone, Three Birds: Self-adaptive Optimal Transport for Multi-VLM Selection, Adaptation, and Ensembling

    Jun 6, 2026Qiyu Xu, Zhanxuan Hu, Yu Duan +4Vision-Language Model AdaptationAva-Vlm

  30. Partially Performative Prediction

    Jun 5, 2026Jaewook Lee, Tijana ZrnicDistribution ShiftsDistributional Learning

  31. Transfer learning for causal forest

    Jun 5, 2026Bérénice-Alexia Jocteur, Véronique Maume-Deschamps, Pierre RibereauCausal InferencesHeterogeneous Treatment Effects

  32. From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards

    Jun 5, 2026Qingwen Zeng, Juan E. Tapia, Sneha Das +1Cross-Domain ShiftsAdversarial Examples

  33. Bridging Domain Expertise and Generalization for Performance Estimation

    Jun 4, 2026Shuxuan Li, Zhilin Zhao, Quyu Kong +1Distribution ShiftsFeature Alignment

  34. Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling

    Jun 3, 2026Ting-An Chen, Chin-Yuan Yeh, De-Nian YangMulti-DomainLong-Tailed Distribution

  35. Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation

    Jun 3, 2026Kaichao You, Ximei Wang, Mingsheng Long +1Domain AdaptationTarget Domain

  36. ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

    Jun 2, 2026Sotirios Vavaroutas, Yu Yvonne Wu, Ali Etemad +1Out-Of-DistributionDistribution Shifts

  37. Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?

    Jun 2, 2026Luc P. J. Sträter, Hazel DoughtyParameter-Efficient Fine-TuningDomain Adaptation

  38. The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection

    Jun 2, 2026Wojciech Zarzecki, Jan Dubiński, Sebastian CygertAlgorithm AuditingValidity

  39. DOME: Learning Transferable Domain Variables from Sparse Supervision for Test-Time Adaptation

    Jun 2, 2026Xiaoran Xu, Yifan Xu, Yupeng Wu +2Domain AdaptationCross-Domain Shifts

  40. Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment

    Jun 1, 2026Yiran Qiao, Jing Chen, Jiaqi Xu +3Streaming VideoDistribution Shifts

  41. RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting

    Jun 1, 2026Jainam Dhruva, Yousaf Raza, A. B. Siddique +1Domain AdaptationDemand Response

  42. Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging

    Jun 1, 2026Tim Nielen, Sameer Ambekar, Johannes Kiechle +2Distribution ShiftsMedical Imaging

  43. Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift

    Jun 1, 2026Adrián Cánovas-Rodriguez, Miguel A. González-Illán, Maria Fernanda García-Cruz +5Tomato DiseasesImage Classification

  44. Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing

    Jun 1, 2026Jiahe Fan, Shaolong Shu, Mingjian Sun +4Domain AdaptationNaturalistic Driving Data

  45. Regime-Arrival Uncertainty in Generalization Bounds under Distribution Shift

    Jun 1, 2026Prince PoudelDistribution ShiftsGeneralization Bounds

  46. RCEM: Robust Conversational Search EMbedder in Distributional Shift

    Jun 1, 2026Kilho Son, Paul Hsu, Cha Zhang +1RetrieversRelevance

  47. PairedGTA: Generating Driving Datasets for Controlled Photometric Shift Analysis

    May 31, 2026Andrea Chianese, Giulio Rossolini, Alessandro Biondi +2Naturalistic Driving DataAutonomous Driving

  48. Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

    May 30, 2026Jiancheng Zhang, Meiqing Li, Qi Zhang +1Active LearningExtreme Class Imbalance

  49. The Right Inference Strategy Is All You Need: Nearly Training-Free Domain-Wise Inference for EgoCross Challenge

    May 30, 2026Leyi Wu, Yifan Zhao, Jinjie Zhang +2Qwen3-Embedding-8BEgocentric Video

  50. Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation

    May 30, 2026Yingxu Wang, Xinwang Liu, Siyang Gao +1Domain AdaptationPseudo-Labeling

  51. DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction

    May 30, 2026Enver Menadjiev, Jihyeon Seong, Jisu Yeo +1Conformal PredictionQuantile Regression

  52. FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection

    May 30, 2026Shan Zhang, Yongxin He, Mingming Zhang +2Synthetic Image DetectionContrastive Learning

  53. Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain

    May 30, 2026Yuan Yao, Jin Song, Huixia Li +3Domain AdaptationNoise-Aware

  54. KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems

    May 29, 2026Alireza Kheirandish, Jihoon Hong, Sara Fridovich-KeilOut-Of-Distribution DetectionDistribution Shifts

  55. CoFiDA-M: Concept-Aware Feature Modulation for Cross-Domain Adaptation with Image-Only Inference

    May 29, 2026Nurjahan Sultana, Moi Hoon Yap, Xinqi Fan +1Skin Lesion ClassificationDomain Adaptation

  56. dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment

    May 29, 2026David Fernández-Narro, Pablo Ferri, Ángel Sánchez-García +2Cross-Dataset BenchmarkDomain Shift

  57. UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment

    May 29, 2026Zheng Wang, Shuo Wang, Junhong WangEmotion RecognitionCross-Modal Fusion

  58. Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift

    May 29, 2026Salim I. Amoukou, Emanuele Albini, Tom Bewley +2Domain AdaptationDistribution Shifts

  59. Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams

    May 29, 2026Jonathan Swinnen, Tinne TuytelaarsDomain Incremental LearningDomain Adaptation

  60. Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding?

    May 29, 2026Isabella Costa Maia, Pedro L. C. Rodrigues, Salem Said +1Domain AdaptationElectroencephalography Spatial Super-Resolution