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. Robustness of Diffusion Models under Distribution Shift

    Sep 23, 2026Wei Luo, Neil K. Chada, Shijie Zhang +1Score-Based Diffusion ModelDistribution Shifts

  2. ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather

    Sep 23, 2026Boying Li, Chang Liu, Britta Ayano Wilde +4Domain AdaptationDense Semantic Segmentation

  3. CVaR anchor regression protects against rare shifts

    Sep 22, 2026Malte LondschienCovariate ShiftDistribution Shifts

  4. Graph Domain Adaptation Does Not End with Representation Learning

    Sep 22, 2026Ziqian Liu, Yongxue Xu, Enze Zhang +3Domain Adaptation

  5. Concept Drift from a Causal Perspective

    Sep 21, 2026Eduardo V. L. Barboza, Jean Paul Barddal, Robert Sabourin +1Distribution ShiftsNon-Stationarity

  6. How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?

    Sep 17, 2026Pochinapeddi Sai Bhargav, Nithin Somasekharan, Rohit Sunil Kanchi +2Computational Fluid DynamicDistribution Shifts

  7. Compact Vision Models for Iris Presentation Attack Detection under Presentation Attack Instrument Shift and Environmental Degradation

    Sep 17, 2026Athanasios Angelakis, Marta Gomez-BarreroAdversarial ExamplesVision Foundation Models

  8. Ischemic Stroke Segmentation and Net Water Uptake Quantification on Multicenter Non-Contrast CT Using Supervised Target-Domain Adaptation

    Sep 17, 2026Linus Britt, Maximilian Nielsen, Susan Klapproth +5StrokeDomain Adaptation

  9. LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits

    Sep 16, 2026Kathy Hämmerl, Gabriel Bretschner, Joern WuebkerMachine Translation QualityNeural Machine Translation Models

  10. ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks

    Sep 16, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluDifferentiable Logic Gate NetworksGnn-Based Detectors

  11. A Probe Shift Is Not a Fairness Fix: The Limits of Representation Steering in Speech Models

    Sep 16, 2026Nicolas Bourrel, Abderrahmane Issam, Gerasimos SpanakisSpeaker AttributesSpeech Encoder

  12. Beyond Accuracy: How Procedural Traces Shift the Decision Criterion of LLM Overseers

    Sep 16, 2026Zihan Chen, Di Zhu, Lei Zheng +1Algorithm AuditingReasoning Benchmark

  13. Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

    Sep 15, 2026Aniketh Vijesh, Shrisharanyan Vasu, Abhijit Ramesh +5Whole-Heart SegmentationCongenital Heart Disease

  14. De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation

    Sep 15, 2026Zoha Usama, Azadeh AlaviBrain Tumor SegmentationMedical Image Segmentation

  15. Robust Fault Detection in Mechanical Multimodal Time Series via Self-Supervised Cross-Modal Reconstruction

    Sep 14, 2026Magnus Munk Jensen, Dorte Hammershøi, Rafał Wiśniewski +1Zero-Shot Anomaly DetectionMulti-Modal Sensing

  16. Beyond Single-Axis Testing: Paired Evaluation of Compound Robustness in Vision-Language-Action Policies

    Sep 14, 2026Hiroki Sawada, Shunichi KasaharaLong RolloutsDistribution Shifts

  17. Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression

    Sep 14, 2026Ren-Rui Liu, Zheng-Chu GuoDensity Ratio EstimationFinite-Sample

  18. Merging the Knowledge of LLMs for Automatic Speech Recognition

    Sep 14, 2026Hayato Futami, Tatsuya KawaharaLlm-Based Automatic Speech RecognitionDomain Adaptation

  19. PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

    Sep 14, 2026Yusuf Khalid Shire, Sang-Chul KimIndirect Prompt InjectionIn-Distribution

  20. Transfer Learning for Evolving Domains

    Sep 14, 2026Ricardo Ribeiro Pereira, Jacopo Bono, Hugo Ferreira +4Transfer LearningDomain Adaptation

  21. The Anatomy and Boundary of Adaptation under Temporal Tabular Shift

    Sep 14, 2026Tianyu Wang, Xi Vincent Wang, Lihui Wang +2Parameter-Efficient AdaptationTabular Foundation Models

  22. Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

    Sep 14, 2026Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2Nonconformity ScoresConformal Prediction

  23. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift

    Sep 13, 2026Mushan Li, Kihyun Han, Yanyuan MaDomain AdaptationCandidate Label Distributions

  24. General Quantification of Covariate and Concept Shifts

    Sep 12, 2026Hongbo Chen, Li Charlie XiaDistribution ShiftsCovariate Shift

  25. Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift

    Sep 12, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Positive--Unlabeled LearningUnlabeled Data

  26. NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction

    Sep 11, 2026NCP Team, Jiaqi Cao, Chiyu Chen +25Large Language Model PretrainingLatent Space

  27. Learning with Synthetic Data via SGD in High-Dimensional Linear Regression

    Sep 10, 2026Jichu li, Difan ZouSynthetic DataStochastic Gradient Descent

  28. BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models

    Sep 9, 2026Junfeng Xia, Wenhao Ye, Junxiang Zhang +3Brain Magnetic Resonance ImagingDomain Adaptation

  29. AVSRBench: A Multi-Condition AVSR Benchmark

    Sep 9, 2026Rishabh Jain, Naomi HarteDomain Adaptation

  30. Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes

    Sep 9, 2026Benedetta Liberatori, Nermin Samet, Paolo Rota +4Remote Sensing Image Change CaptioningDomain Shift

  31. CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood Shifts

    Sep 9, 2026Naibin Gu, Qingyi Si, Chenxu Yang +5On-Policy DistillationCompass

  32. Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

    Sep 9, 2026Aaron CerossSubgroup InformationRetraining

  33. Accountable and uncertainty-aware evaluation of sensor-based AI under distribution shift: devices, subjects, and nearly three years underground

    Sep 8, 2026Benny Platte, Rico Thomanek, Christian Roschke +1Evaluation ProtocolsDistribution Shifts

  34. Data-Efficient Crosswalk Segmentation from Overhead CCTV via Confidence- and Geometry-Guided Pseudo-Labeling

    Sep 8, 2026Abdirashid Omar, Jonghyuk ParkChange DetectionU-Net

  35. Inclusive electron-nucleus cross section models from domain adaptation

    Sep 8, 2026Krzysztof M. Graczyk, Beata E. Kowal, Rwik Dharmapal Banerjee +3Nuclear DataTransfer Learning

  36. An LLM-Associated Register Shift in Korean Journal Abstracts: A Morphology-Aware Excess-Vocabulary Study, 2018-2026

    Sep 7, 2026Aron LeeKoreanAcademic Papers

  37. Unsupervised Domain Adaptation for Symbol Spotting in Historical Encrypted Manuscripts

    Sep 7, 2026Giuseppe De Gregorio, Alicia Fornés, Lei Kang +1Handwritten Text RecognitionHandwriting

  38. Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language

    Sep 3, 2026Julian Truetsch, Felix Hauser, Christoph Stiller +1Naturalistic Driving DataAutonomous Driving

  39. IDSPACE: A Novel Document Generator for Reliable Evaluation of Digital Identity Verification Systems [Extended Technical Report]

    Sep 2, 2026Lulu Xie, Yancheng Wang, Kanchan Chowdhury +3Synthetic Image DetectionIdentity

  40. CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling

    Sep 1, 2026Xin Shen, Chengyou Jia, Keshuo Xing +6Camera Control3D Editing

  41. Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

    Sep 1, 2026Udo Schlegel, Shubhangi, Gabriel Dax +3Pseudo-LabelingDomain Adaptation

  42. Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness

    Aug 31, 2026Anh T. Nguyen, Zihua Sun, Michelle J. JohnsonMotor ImageryElectroencephalography Foundation Models

  43. RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias

    Aug 31, 2026Yihe Sun, Ziyu Lu, Kaihua Tang +1Text-To-CadComputer-Aided Design

  44. Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

    Aug 31, 2026Abdullah Al Mamun, Md. Nasif Osman Khansur, Md Ashraful Hossen Akash +2Chest X-RayAuc-Roc

  45. Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

    Aug 31, 2026Jiaxin Tian, Darren An, Jun LiCyclic PeptidesStructure-Based Drug Design

  46. CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation

    Aug 31, 2026Kwangmin Ki, Yunhun Nam, Jongheon Jeong +1Large Language Model AdaptationSupervised Fine-Tuning

  47. DataFoundry: Evolving Data Preparators via Recursive Self-Improvement

    Aug 30, 2026Cehao Yang, Xiaojun Wu, Xueyuan Lin +4PreprocessingRecursive Self-Improvement

  48. On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation

    Aug 30, 2026Henrique Zan Grande, João G. Pitol, Lucas B. Schuck +3Brain Tumor SegmentationMagnetic Resonance Imaging

  49. Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting

    Aug 28, 2026Yixuan Zhao, Man LuoMobilityTarget Domain

  50. MVC-Bench: Benchmarking Calibration of Medical Vision-Language Models

    Aug 27, 2026Ashshak Sharifdeen, Shihab Aaqil Ahamed, Ufaq Khan +6Medical Vision-Language ModelsMultimodal Benchmarks

  51. Statistical Properties of Robust Learning under Distributional Shifts

    Aug 13, 2026Zhiyi Li, Xiaojie Mao, Yunbei Xu +1Distribution ShiftsDistributional Learning

  52. How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging

    Aug 12, 2026Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf +2Domain AdaptationMedical Imaging Datasets

  53. TELLME: Test-Enhanced Learning for Language Model Enrichment

    Aug 12, 2026Minjun Kim, Inho Won, Hyeonseok Lim +6Domain AdaptationModel Pretraining

  54. Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets

    Aug 11, 2026Carlos Zamora, Hiram Zuniga, Ulises Orozco-Rosas +1Acute Myeloid LeukemiaMicroscopy

  55. BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

    Aug 10, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18MammographyMultimodal Domain Generalization

  56. Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope

    Aug 10, 2026Michaël Dell'aiera, Thomas Vuillaume, Alexandre BenoitDomain AdaptationExtreme Class Imbalance

  57. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraFederated LearningInformation-Theoretic Limits

  58. CPDA: Class-Conditional Path Distribution Alignment for Unsupervised Time-Series Domain Adaptation

    Aug 10, 2026Felix Ott, Christopher MutschlerDomain AdaptationTime-Series Classification

  59. An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer

    Aug 10, 2026Mengxian Lyu, Cheng Peng, Tim Jang +18Colorectal CancerTreatment

  60. Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets

    Aug 8, 2026Ximeng Liu, Qianlong Wang, Yingming Mao +6AlphaevolveKnowledge-Intensive Domains