주제로 연구실 찾기

1. KAIST·컴퓨터 비전

   윤국진VI Lab

   관련도관련 논문 11편비중 10%
   • 2026Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time AdaptationCVPR
   • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time AdaptationECCV
   • 2026Toward Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic SegmentationTPAMI
2. POSTECH·컴퓨터 비전

   곽수하, 조민수, 손진희CV Lab

   관련도관련 논문 7편비중 6%연구 분야에 명시
   • 2026TestDG: Test-time Domain Generalization for Continual Test-time AdaptationTMLR
   • 2025Decoupled Finetuning for Domain Generalizable Semantic SegmentationICLR
   • 2024MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics MemoryECCV
3. Yonsei·머신러닝

   한동준Edge AI Lab

   관련도관련 논문 6편비중 14%
   • 2026Decentralized Domain Generalization with Style Sharing: A Formal Modeling and Convergence AnalysisIEEE INFOCOM
   • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD GeneralizationAAAI
   • 2026Efficient Split Learning with Overlapping Areas: Handling Distribution Shifts in Multi-Cell NetworksIEEE/ACM ToN
4. Yonsei·머신러닝

   송경우MLAI Lab

   관련도관련 논문 7편비중 8%
   • 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution ShiftNeurIPS
   • 2025CCL: Causal-aware In-context Learning for Out-of-Distribution GeneralizationNeurIPS
   • 2025Sufficient Invariant Learning for Distribution ShiftCVPR
5. KAIST·머신러닝

   문재균

   관련도관련 논문 4편비중 20%연구 분야에 명시
   • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD GeneralizationAAAI
   • 2025Adaptive Energy Alignment for Accelerating Test-Time AdaptationICLR
   • 2023StableFDG: Style and Attention Based Learning for Federated Domain GeneralizationNeurIPS
6. KU·컴퓨터 비전

   김동현UTL Lab

   관련도관련 논문 3편비중 7%연구 분야에 명시
   • 2026Delving into Pre-training for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain AdaptationIJCV
   • 2026Training-Free Label Space Alignment for Universal Domain AdaptationEngineering Applications of Artificial Intelligence
   • 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object DetectionNeurIPS
7. SNU·데이터 마이닝

   강유Data Mining Lab

   관련도관련 논문 5편비중 8%
   • 2026Fast and Accurate Domain Adaptation for Irregular and Regular Tensor DecompositionIEEE TKDE
   • 2026Robust Multi-Source-Free Domain Adaptation via Posterior Adjustment and Label AgreementINTERSPEECH
   • 2025Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate PredictionCIKM
8. KU·컴퓨터 비전

   박경문VGI Lab

   관련도관련 논문 6편비중 13%
   • 2026Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-PerturbationMedical Image Analysis
   • 2025Universal Domain Adaptation for Semantic SegmentationCVPR
   • 2024Open-Set Domain Adaptation for Semantic SegmentationCVPR
9. KU·AI for Science

   감태의Medical AI Lab

   관련도관련 논문 5편비중 7%
   • 2026crossMoDA challenge: Evolution of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation from 2021 to 2023Medical Image Analysis
   • 2026Subject-Adaptive Multi-Subgraph Framework for Brain Graph Out-of-Distribution GeneralizationIEEE SMC
   • 2025Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain AdaptationMICCAI
10. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련도관련 논문 5편비중 10%
    • 2026FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image SegmentationIEEE TNNLS
    • 2026DyMix: Dynamic Frequency Mixup Scheduler-based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease IdentificationPattern Recognition
    • 2025ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution GeneralizationIJCAI
11. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 6편비중 6%
    • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution ShiftAAAI
    • 2025Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationAAAI
    • 2024Efficient Diffusion-Driven Corruption Editor for Test-Time AdaptationECCV
12. SNU·머신러닝

    김태섭LAAL Lab

    관련도관련 논문 2편비중 5%연구 분야에 명시
    • 2026Robust Domain Generalization under Divergent Marginal and Conditional DistributionsNeurIPS
    • 2023Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift LearningICCV
13. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 5편비중 6%
    • 2026Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness LikelihoodWACV
    • 2025Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution StrategyCVPR
    • 2024CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationECCV
14. Yonsei·머신러닝

    이기복Machine Learning Lab

    관련도관련 논문 1편비중 5%연구 분야에 명시
    • 2026When and Where to Reset Matters for Long-Term Test-Time AdaptationICLR
15. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 6편비중 9%
    • 2025Continual Test-time Adaptation for Robust Remote Photoplethysmography EstimationIEEE Access
    • 2024UL-VIO: Ultra-Lightweight Visual-Inertial Odometry with Noise Robust Test-Time AdaptationECCV
    • 2024Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time AdaptationECCV
16. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 5편비중 6%
    • 2025Unlocking the potential of unlabeled data in semi-supervised domain generalizationCVPR
    • 2025Mitigating the Bias in the Model for Continual Test-Time AdaptationIEEE Access
    • 2024Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained FeaturesICLR
17. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 3편비중 6%
    • 2026MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time AdaptationECCV
    • 2026Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement LearningAISTATS
    • 2025EDAS: Effective Data Augmentation Strategies for Test-Time AdaptationICT Express
18. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 4편비중 17%
    • 2025Label Distribution Shift-Aware Prediction Refinement for Test Time AdaptationTMLR
    • 2025SNAP: Low-Latency Test-Time Adaptation with Sparse UpdatesNeurIPS
    • 2024Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail LearningTMLR
19. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 6편비중 4%
    • 2024Is User Feedback Always Informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataECCV
    • 2024When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly DetectionAAAI
    • 2023CAFA: Class-Aware Feature Alignment for Test-time AdaptationICCV
20. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 3편비중 5%
    • 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement LearningICML
    • 2025Lightweight Test-time Adaptation for Robust Out-of-Distribution Face Recognition in Web ServicesJournal of Web Engineering
    • 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object DetectionNeurIPS
21. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 3편비중 7%
    • 2025Decoupled Finetuning for Domain Generalizable Semantic SegmentationICLR
    • 2025Intermediate Layer Classifiers for OOD GeneralizationICLR
    • 2023ID and OOD Performance Are Sometimes Inversely Correlated on Real-world DatasetsNeurIPS
22. SNU·로보틱스

    최준원ADR Lab

    관련도관련 논문 2편비중 5%
    • 2026Image-text driven style randomization for domain generalized semantic segmentationNeurocomputing
    • 2025Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionIEEE Transactions on Intelligent Vehicles
23. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 2편비중 5%
    • 2026Domain Adaptation of Attention Heads for Zero-shot Anomaly DetectionComputer Vision and Image Understanding
    • 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution ShiftNeurocomputing
24. SNU·AI for Science

    이동헌BiLab

    관련도관련 논문 2편비중 4%
    • 2026CS-TTA: Preserving Concept Sensitivity in Test-Time AdaptationECCV
    • 2025ColonOOD: A complete pipeline for optical diagnosis of colorectal polyps integrating out-of-distribution detection and uncertainty quantificationExpert Systems with Applications
25. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 2편비중 2%
    • 2026IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time AdaptationICLR
    • 2025AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain AdaptationWACV
26. SNU·데이터 마이닝

    장준기

    관련도관련 논문 2편비중 14%
    • 2026Fast and Accurate Domain Adaptation for Irregular and Regular Tensor DecompositionIEEE TKDE
    • 2024Fast and Accurate Domain Adaptation for Irregular Tensor DecompositionKDD
27. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 3편비중 3%
    • 2025VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video UnderstandingCVPR
    • 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time AdaptationICML
    • 2023Exploring Chemical Space with Score-based Out-of-distribution GenerationICML
28. SNU·AI 시스템

    김형신AIoT Lab

    관련도관련 논문 2편비중 6%
    • 2026ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty QuantificationExpert Systems with Applications
    • 2024Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor DomainsCVPR
29. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 2편비중 6%
    • 2026Beyond Average Flatness: Domain-wise Flatness for Domain GeneralizationNeurIPS
    • 2024Simultaneous Classification and Out-of-Distribution Detection for Wafer Bin MapsQuality Engineering
30. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 2편비중 3%
    • 2026UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information RetrievalACL Findings
    • 2024DADA: Distribution-Aware Domain Adaptation of PLMs for Information RetrievalACL Findings
31. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 2편비중 3%
    • 2026Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?MIDL
    • 2024CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationACCV
32. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 2편비중 5%
    • 2025Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label ShiftsKDD
    • 2025RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language ModelsICLR
33. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 3편비중 3%
    • 2024MedBN: Robust Test-Time Adaptation against Malicious Test SamplesCVPR
    • 2024MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics MemoryECCV
    • 2023Leveraging Proxy of Training Data for Test-Time AdaptationICML
34. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 3편비중 2%
    • 2024Test-Time Adaptation for EEG-based Driver Drowsiness ClassificationICPRAI
    • 2023LC-MSM: Language-Conditioned Masked Segmentation Model for Unsupervised Domain AdaptationPattern Recognition
    • 2023Enhancing Discriminative Ability Among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain AdaptationIJCNN
35. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 2편비중 2%
    • 2025Steerable conditional diffusion for out-of-distribution adaptation in medical image reconstructionIEEE TMI
    • 2024Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse ProblemsECCV
36. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 2편비중 1%
    • 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement LearningICLR
    • 2024Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound ClassificationICASSP
37. SNU·머신러닝

    이상학Causality Lab

    관련도관련 논문 2편비중 7%
    • 2025PEER pressure: Model-to-Model Regularization for Single Source Domain GeneralizationCVPR
    • 2023Learning to ignore: Single Source Domain Generalization via Oracle RegularizationNeurIPS
38. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 2편비중 2%
    • 2025Simple yet Effective Node Property Prediction on Edge Streams under Distribution ShiftsICDE
    • 2023Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network EmbeddingWWW
39. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 1편비중 4%
    • 2026Exploiting Local Flatness for Efficient Out-of-Distribution DetectionECCV
40. KU·머신러닝

    정종헌TAIL

    관련도관련 논문 1편비중 4%
    • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain AdaptationEMNLP
41. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 1편비중 3%
    • 2026Reducing Annotation Costs for Autonomous Driving: Scalable Perception via Multi-Level Active Domain AdaptationIEEE Intelligent Vehicles Symposium
42. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 1편비중 2%
    • 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data SelectionICML
43. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 1편비중 2%
    • 2026Domain Generalization via Text-Anchored Information BottleneckECCV
44. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 1편비중 2%
    • 2026COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentationExpert Systems with Applications
45. KU·머신러닝

    이창희AIX

    관련도관련 논문 1편비중 3%
    • 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut StatisticsNeurIPS
46. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 1편비중 2%
    • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain AdaptationEMNLP
47. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 1편비중 1%
    • 2026Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement LearningIEEE Access
48. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 2편비중 9%
    • 2024MedBN: Robust Test Time Adaptation against Malicious Test SamplesCVPR
    • 2023CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical SystemsICCPS
49. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 2편비중 2%
    • 2024Randomized Adversarial Style Perturbations for Domain GeneralizationWACV
    • 2023Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionICCV
50. SNU·자연어처리·LLM

    이상구IDS Lab

    관련도관련 논문 2편비중 13%
    • 2023Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning*SEM
    • 2023Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLPEMNLP Findings
51. KU·머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    관련도관련 논문 1편비중 11%
    • 2025CASUAL: Conditional Support Alignment for Domain Adaptation with Label ShiftAAAI
52. SNU·머신러닝

    이원종DRL Lab

    관련도관련 논문 1편비중 4%
    • 2025Towards a Better Evaluation of Out-of-Domain GeneralizationNeural Networks
53. POSTECH·음성·오디오

    서영주AIoT Lab

    관련도관련 논문 1편비중 3%
    • 2025Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems with Prototype LearningIEEE Access
54. KU·머신러닝

    이병준Decision Making Lab

    관련도관련 논문 1편비중 3%
    • 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement LearningICML
55. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 1편비중 1%
    • 2025Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersWACV
56. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 1편비중 1%
    • 2025Test-Time Adaptation with Binary FeedbackICML
57. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 1편비중 1%
    • 2025PANGEA: projection-based augmentation with non-relevant general data for enhanced domain adaptation in LLMsNeurIPS
58. KU·로보틱스

    최성준Robot Intelligence Lab

    관련도관련 논문 1편비중 3%
    • 2024Generalized Outlier Exposure: Towards a Trustworthy Out-of-Distribution Detector without Sacrificing AccuracyNeurocomputing
59. SNU·AI for Science

    김선BHI Lab

    관련도관련 논문 1편비중 2%
    • 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic EnvironmentsCVPR
60. KAIST·머신러닝

    문일철AAI Lab

    관련도관련 논문 1편비중 3%
    • 2024Unknown Domain Inconsistency Minimization for Domain GeneralizationICLR

+10

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.