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Korea AI Labs

도메인 적응·일반화

Domain Adaptation & Generalization · 연구실 70곳 · 논문 175편

다른 주제·대학과 함께 찾기
POSTECH6/15
KU12/23
Yonsei8/37
KAIST21/57
SNU23/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. KAIST컴퓨터 비전

    윤국진VI Lab

    관련 논문 11편비중 10%
    • 2026Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation CVPR
    • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation ECCV
    • 2026Toward Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic Segmentation TPAMI
  2. POSTECH컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련 논문 7편비중 6%연구 분야에 명시
    • 2026TestDG: Test-time Domain Generalization for Continual Test-time Adaptation TMLR
    • 2025Decoupled Finetuning for Domain Generalizable Semantic Segmentation ICLR
    • 2024MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory ECCV
  3. Yonsei머신러닝

    한동준Edge AI Lab

    관련 논문 6편비중 14%
    • 2026Decentralized Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis IEEE INFOCOM
    • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI
    • 2026Efficient Split Learning with Overlapping Areas: Handling Distribution Shifts in Multi-Cell Networks IEEE/ACM ToN
  4. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 7편비중 8%
    • 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift NeurIPS
    • 2025CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization NeurIPS
    • 2025Sufficient Invariant Learning for Distribution Shift CVPR
  5. KAIST머신러닝

    문재균

    관련 논문 4편비중 20%연구 분야에 명시
    • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI
    • 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation ICLR
    • 2023StableFDG: Style and Attention Based Learning for Federated Domain Generalization NeurIPS
  6. KU컴퓨터 비전

    김동현UTL Lab

    관련 논문 3편비중 7%연구 분야에 명시
    • 2026Delving into Pre-training for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain Adaptation IJCV
    • 2026Training-Free Label Space Alignment for Universal Domain Adaptation Engineering Applications of Artificial Intelligence
    • 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection NeurIPS
  7. SNU데이터 마이닝

    강유Data Mining Lab

    관련 논문 5편비중 8%
    • 2026Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition IEEE TKDE
    • 2026Robust Multi-Source-Free Domain Adaptation via Posterior Adjustment and Label Agreement INTERSPEECH
    • 2025Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction CIKM
  8. KU컴퓨터 비전

    박경문VGI Lab

    관련 논문 6편비중 13%
    • 2026Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-Perturbation Medical Image Analysis
    • 2025Universal Domain Adaptation for Semantic Segmentation CVPR
    • 2024Open-Set Domain Adaptation for Semantic Segmentation CVPR
  9. KUAI for Science

    감태의Medical AI Lab

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

    석흥일Machine Intelligence Lab

    관련 논문 5편비중 10%
    • 2026FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation IEEE TNNLS
    • 2026DyMix: Dynamic Frequency Mixup Scheduler-based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification Pattern Recognition
    • 2025ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization IJCAI
  11. SNU머신러닝

    윤성로AI Lab

    관련 논문 6편비중 6%
    • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution Shift AAAI
    • 2025Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI
    • 2024Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation ECCV
  12. SNU머신러닝

    김태섭LAAL Lab

    관련 논문 2편비중 5%연구 분야에 명시
    • 2026Robust Domain Generalization under Divergent Marginal and Conditional Distributions NeurIPS
    • 2023Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning ICCV
  13. KAIST머신러닝

    양은호MLI Lab

    관련 논문 5편비중 6%
    • 2026Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV
    • 2025Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy CVPR
    • 2024CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation ECCV
  14. Yonsei머신러닝

    이기복Machine Learning Lab

    관련 논문 1편비중 5%연구 분야에 명시
    • 2026When and Where to Reset Matters for Long-Term Test-Time Adaptation ICLR
  15. SNU컴퓨터 비전

    전세영ICL

    관련 논문 6편비중 9%
    • 2025Continual Test-time Adaptation for Robust Remote Photoplethysmography Estimation IEEE Access
    • 2024UL-VIO: Ultra-Lightweight Visual-Inertial Odometry with Noise Robust Test-Time Adaptation ECCV
    • 2024Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation ECCV
  16. SNU컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 5편비중 6%
    • 2025Unlocking the potential of unlabeled data in semi-supervised domain generalization CVPR
    • 2025Mitigating the Bias in the Model for Continual Test-Time Adaptation IEEE Access
    • 2024Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features ICLR
  17. SNU머신러닝

    이정우CML Lab

    관련 논문 3편비중 6%
    • 2026MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation ECCV
    • 2026Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning AISTATS
    • 2025EDAS: Effective Data Augmentation Strategies for Test-Time Adaptation ICT Express
  18. KAIST머신러닝

    정혜원IIDS Lab

    관련 논문 4편비중 17%
    • 2025Label Distribution Shift-Aware Prediction Refinement for Test Time Adaptation TMLR
    • 2025SNAP: Low-Latency Test-Time Adaptation with Sparse Updates NeurIPS
    • 2024Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning TMLR
  19. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 6편비중 4%
    • 2024Is User Feedback Always Informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data ECCV
    • 2024When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection AAAI
    • 2023CAFA: Class-Aware Feature Alignment for Test-time Adaptation ICCV
  20. KU컴퓨터 비전

    김상필Computer Vision Lab

    관련 논문 3편비중 5%
    • 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML
    • 2025Lightweight Test-time Adaptation for Robust Out-of-Distribution Face Recognition in Web Services Journal of Web Engineering
    • 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection NeurIPS
  21. KAIST머신러닝

    오성준STAI Lab

    관련 논문 3편비중 7%
    • 2025Decoupled Finetuning for Domain Generalizable Semantic Segmentation ICLR
    • 2025Intermediate Layer Classifiers for OOD Generalization ICLR
    • 2023ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NeurIPS
  22. SNU로보틱스

    최준원ADR Lab

    관련 논문 2편비중 5%
    • 2026Image-text driven style randomization for domain generalized semantic segmentation Neurocomputing
    • 2025Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection IEEE Transactions on Intelligent Vehicles
  23. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 2편비중 5%
    • 2026Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection Computer Vision and Image Understanding
    • 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift Neurocomputing
  24. SNUAI for Science

    이동헌BiLab

    관련 논문 2편비중 4%
    • 2026CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation ECCV
    • 2025ColonOOD: A complete pipeline for optical diagnosis of colorectal polyps integrating out-of-distribution detection and uncertainty quantification Expert Systems with Applications
  25. KAIST컴퓨터 비전

    김준모SIIT Lab

    관련 논문 2편비중 2%
    • 2026IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation ICLR
    • 2025AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation WACV
  26. SNU데이터 마이닝

    장준기

    관련 논문 2편비중 14%
    • 2026Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition IEEE TKDE
    • 2024Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition KDD
  27. SNUAI 시스템

    김형신AIoT Lab

    관련 논문 2편비중 6%
    • 2026ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty Quantification Expert Systems with Applications
    • 2024Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR
  28. KAIST머신러닝

    황성주MLAI Lab

    관련 논문 3편비중 3%
    • 2025VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding CVPR
    • 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation ICML
    • 2023Exploring Chemical Space with Score-based Out-of-distribution Generation ICML
  29. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 2편비중 6%
    • 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization NeurIPS
    • 2024Simultaneous Classification and Out-of-Distribution Detection for Wafer Bin Maps Quality Engineering
  30. SNU자연어처리·LLM

    황승원LDI Lab

    관련 논문 2편비중 3%
    • 2026UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval ACL Findings
    • 2024DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval ACL Findings
  31. POSTECHAI for Science

    김원화, 류일우MIP Lab

    관련 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 Adaptation ACCV
  32. KAIST데이터 마이닝

    이재길Data Mining Lab

    관련 논문 2편비중 5%
    • 2025Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts KDD
    • 2025RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models ICLR
  33. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 3편비중 3%
    • 2024MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR
    • 2024MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory ECCV
    • 2023Leveraging Proxy of Training Data for Test-Time Adaptation ICML
  34. KAISTAI for Science

    예종철BISPL

    관련 논문 2편비중 2%
    • 2025Steerable conditional diffusion for out-of-distribution adaptation in medical image reconstruction IEEE TMI
    • 2024Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems ECCV
  35. KAIST머신러닝

    윤세영OSI Lab

    관련 논문 2편비중 1%
    • 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning ICLR
    • 2024Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification ICASSP
  36. KU머신러닝

    이성환PRML Lab

    관련 논문 3편비중 2%
    • 2024Test-Time Adaptation for EEG-based Driver Drowsiness Classification ICPRAI
    • 2023LC-MSM: Language-Conditioned Masked Segmentation Model for Unsupervised Domain Adaptation Pattern Recognition
    • 2023Enhancing Discriminative Ability Among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation IJCNN
  37. SNU머신러닝

    이상학Causality Lab

    관련 논문 2편비중 7%
    • 2025PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization CVPR
    • 2023Learning to ignore: Single Source Domain Generalization via Oracle Regularization NeurIPS
  38. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 2편비중 2%
    • 2025Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts ICDE
    • 2023Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding WWW
  39. POSTECH머신러닝

    이남훈Computational Optimization Lab

    관련 논문 1편비중 4%
    • 2026Exploiting Local Flatness for Efficient Out-of-Distribution Detection ECCV
  40. KU머신러닝

    정종헌TAIL

    관련 논문 1편비중 4%
    • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation EMNLP
  41. KAIST로보틱스

    금동석AXE Lab

    관련 논문 1편비중 3%
    • 2026Reducing Annotation Costs for Autonomous Driving: Scalable Perception via Multi-Level Active Domain Adaptation IEEE Intelligent Vehicles Symposium
  42. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 1편비중 2%
    • 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection ICML
  43. SNU컴퓨터 비전

    이준석VIP Lab

    관련 논문 1편비중 2%
    • 2026Domain Generalization via Text-Anchored Information Bottleneck ECCV
  44. KU인간-AI 상호작용

    서승호HUI

    관련 논문 1편비중 2%
    • 2026COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentation Expert Systems with Applications
  45. KU머신러닝

    이창희AIX

    관련 논문 1편비중 3%
    • 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics NeurIPS
  46. Yonsei자연어처리·LLM

    김재형ML3 Lab

    관련 논문 1편비중 2%
    • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation EMNLP
  47. SNU머신러닝

    장병탁BI Lab

    관련 논문 1편비중 1%
    • 2026Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning IEEE Access
  48. POSTECH머신러닝

    박상돈Trustworthy ML Lab

    관련 논문 2편비중 9%
    • 2024MedBN: Robust Test Time Adaptation against Malicious Test Samples CVPR
    • 2023CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems ICCPS
  49. SNU컴퓨터 비전

    이경무, 한보형CV Lab

    관련 논문 2편비중 2%
    • 2024Randomized Adversarial Style Perturbations for Domain Generalization WACV
    • 2023Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction ICCV
  50. SNU자연어처리·LLM

    이상구IDS Lab

    관련 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 NLP EMNLP Findings
  51. KU머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    관련 논문 1편비중 11%
    • 2025CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift AAAI
  52. SNU머신러닝

    이원종DRL Lab

    관련 논문 1편비중 4%
    • 2025Towards a Better Evaluation of Out-of-Domain Generalization Neural Networks
  53. POSTECH음성·오디오

    서영주AIoT Lab

    관련 논문 1편비중 3%
    • 2025Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems with Prototype Learning IEEE Access
  54. KU머신러닝

    이병준Decision Making Lab

    관련 논문 1편비중 3%
    • 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML
  55. KAIST컴퓨터 비전

    김승룡CV Lab

    관련 논문 1편비중 1%
    • 2025Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters WACV
  56. KAIST머신러닝

    신진우ALIN Lab

    관련 논문 1편비중 1%
    • 2025Test-Time Adaptation with Binary Feedback ICML
  57. KAIST머신러닝

    이주호SIML Lab

    관련 논문 1편비중 1%
    • 2025PANGEA: projection-based augmentation with non-relevant general data for enhanced domain adaptation in LLMs NeurIPS
  58. KU로보틱스

    최성준Robot Intelligence Lab

    관련 논문 1편비중 3%
    • 2024Generalized Outlier Exposure: Towards a Trustworthy Out-of-Distribution Detector without Sacrificing Accuracy Neurocomputing
  59. SNUAI for Science

    김선BHI Lab

    관련 논문 1편비중 2%
    • 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR
  60. KAIST머신러닝

    문일철AAI Lab

    관련 논문 1편비중 3%
    • 2024Unknown Domain Inconsistency Minimization for Domain Generalization ICLR
  61. KAIST컴퓨터 비전

    윤성의SGVR Lab

    관련 논문 1편비중 2%
    • 2024MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation CVPR
  62. Yonsei컴퓨터 비전

    전해곤Visual AI Lab

    관련 논문 1편비중 2%
    • 2024Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR
  63. KAIST컴퓨터 비전

    오태현AMI Lab

    관련 논문 1편비중 1%
    • 2024MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation BMVC
  64. Yonsei머신러닝

    이종민DIL Lab

    관련 논문 1편비중 7%
    • 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS
  65. SNU컴퓨터 비전

    최종현MPR Lab

    관련 논문 1편비중 2%
    • 2023MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds CVPR
  66. KAIST머신러닝

    김기응AIPR Lab

    관련 논문 1편비중 4%
    • 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS
  67. Yonsei데이터 마이닝

    김하영MLCF Lab

    관련 논문 1편비중 4%
    • 2023Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization CVPR
  68. Yonsei컴퓨터 비전

    황성재MICV Lab

    관련 논문 1편비중 2%
    • 2023Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve Machine Learning
  69. SNU로보틱스

    김현진LARR Lab

    관련 논문 1편비중 1%
    • 2023Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS
  70. SNU자연어처리·LLM

    정교민MI Lab

    관련 논문 1편비중 1%
    • 2023Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty EMNLP