주제로 연구실 찾기

1. Yonsei·머신러닝

   이기복Machine Learning Lab

   관련도관련 논문 7편비중 37%연구 분야에 명시
   • 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt PretrainingCVPR
   • 2025On the Similarities of Embeddings in Contrastive LearningICML
   • 2025Soft Task-Aware Routing of Experts for Equivariant Representation LearningNeurIPS
2. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 12편비중 12%
   • 2026scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation LearningNeurIPS
   • 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge VerificationICML
   • 20253D Interaction Geometric Pre-training for Molecular Relational LearningNeurIPS
3. KAIST·AI for Science

   예종철BISPL

   관련도관련 논문 13편비중 11%
   • 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative ConceptsICML
   • 2026Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia PrognosisEMNLP
   • 2026Diverse Text-to-Image Generation via Contrastive Noise OptimizationICLR
4. KAIST·머신러닝

   신진우ALIN Lab

   관련도관련 논문 12편비중 9%
   • 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training DataNeurIPS
   • 2026Contrastive Representation Regularization for Vision-Language-Action ModelsICML
   • 2025Closest Neighbors are Harmful for Lightweight Masked Auto-encodersCVPR
5. KU·머신러닝

   이성환PRML Lab

   관련도관련 논문 10편비중 6%
   • 2026Semantic-Level Invariant Representation Learning for Cross-Hospital Clinical EEG ModelingNeurIPS
   • 2026FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic SegmentationNeural Networks
   • 2026Negative Contrastive Chain-of-Thought Distillation for Transfer Reasoning Capability to Small Language ModelsIEEE Access
6. SNU·컴퓨터 비전

   조남익ISPL

   관련도관련 논문 8편비중 13%
   • 2026TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image DenoisingCVPR
   • 2026DINOLight: Robust Ambient Light Normalization with Self-supervised Visual Prior IntegrationICPR
   • 2026UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image GenerationIEEE Access
7. Yonsei·머신러닝

   조성배SCLAB

   관련도관련 논문 8편비중 11%
   • 2026Graph Representation Learning with Laplacian Pyramid Residuals for Graph ClassificationPAKDD
   • 2026Hyperbolic Spatio-Temporal Representation Learning for Unsupervised Video Anomaly DetectionICPR
   • 2026Contrastive learning of prototypical network for detecting phishing URLLogic Journal of the IGPL
8. Yonsei·머신러닝

   손지용ITML Lab

   관련도관련 논문 6편비중 25%연구 분야에 명시
   • 2025On the Similarities of Embeddings in Contrastive LearningICML
   • 2025Soft Task-Aware Routing of Experts for Equivariant Representation LearningNeurIPS
   • 2025A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive LearningAISTATS
9. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 11편비중 8%
   • 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMsICML
   • 2025MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-EncoderICLR
   • 2025VSCoDe: Visual-Augmentation Selection for Contrastive DecodingTMLR
10. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 10편비중 12%
    • 2026TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text AlignmentCVPR
    • 2026HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and SceneWACV
    • 2024CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningECCV
11. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 7편비중 12%연구 분야에 명시
    • 2025Latent Diffusion Models with Masked AutoEncodersICCV
    • 2024Dictionary Contrastive Forward Learning via Adaptive Label EmbeddingsICLR
    • 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion ModelsICML
12. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 8편비중 10%
    • 2026Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood EstimationNeurIPS
    • 2026Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory BalanceICML
    • 2025FairASR: Fair Audio Contrastive Learning for Automatic Speech RecognitionINTERSPEECH
13. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 8편비중 9%
    • 2026Feature-Centric Unsupervised Node Representation Learning Without Homophily AssumptionAAAI
    • 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple RemedyICML
    • 2025A Self-Supervised Mixture-of-Experts Framework for Multi-behavior RecommendationCIKM
14. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 9편비중 10%
    • 2026Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source LocalizationIJCV
    • 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive DecodingNeurIPS
    • 2024Disentangled Representation Learning for Environment-agnostic Speaker RecognitionINTERSPEECH
15. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 7편비중 9%
    • 2026Soft equivariance regularization for invariant self-supervised learningICLR
    • 2026Stochastic optimal control for continuous-time fMRI representation learningICLR
    • 2024Self-supervised dataset distillation for transfer learningICLR
16. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 3편비중 4%연구 분야에 명시
    • 2026Exploring the Design Space of Representation Learning for Audio TransformationsISMIR
    • 2025Voice-Based Dysphagia Detection: Leveraging Self-Supervised Speech RepresentationINTERSPEECH
    • 2023Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio EffectsICASSP
17. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 8편비중 8%
    • 2026Synthon Contrastive Learning for Synthesizable 3D Molecule GenerationNeurIPS
    • 2024Self-Supervised Dataset Distillation for Transfer LearningICLR
    • 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized AlignmentICML
18. SNU·데이터 마이닝

    유재민Data AI Lab

    관련도관련 논문 5편비중 19%
    • 2026Feature-Centric Unsupervised Node Representation Learning Without Homophily AssumptionAAAI
    • 2025Self-Tuning Self-Supervised Image Anomaly DetectionKDD
    • 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionSDM
19. SNU·머신러닝

    이상학Causality Lab

    관련도관련 논문 2편비중 7%연구 분야에 명시
    • 2026On Causal Representation Learning with Internal AuxiliariesUAI
    • 2025Instrumental Variable Representation Learning under Confounded CovariatesNeurIPS
20. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련도관련 논문 5편비중 14%
    • 2026Chronos: Chronology-Grounded Continued Pre-training for Language Model Adaptation to Materials ScienceEMNLP
    • 2025Handling Korean Out-of-Vocabulary Words with Phoneme Representation LearningPAKDD
    • 2024MolTRES: Improving Chemical Language Representation Learning for Molecular Property PredictionEMNLP
21. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 8편비중 6%
    • 2024Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive PairCVPR
    • 2024Investigating Pre-Training Objectives for Generalization in Visual Reinforcement LearningICML
    • 2024Self-Supervised Contrastive ForecastingICLR
22. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 5편비중 24%
    • 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete DiffusionICML
    • 2025Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge GraphsICML
    • 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation LearningICML
23. KAIST·컴퓨터 비전

    김승욱GLOW Lab

    관련도관련 논문 2편비중 14%연구 분야에 명시
    • 2026Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair SupervisionECCV
    • 2023DreamTeacher: Pretraining Image Backbones with Deep Generative ModelsICCV
24. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 5편비중 7%
    • 2026Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese NetworkICLR
    • 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for RecommendationWSDM
    • 2025FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality FeaturesAAAI
25. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련도관련 논문 6편비중 16%
    • 2025Enhancing Wafer Probing With SwinProbeFormer: Self-Supervised Anomaly Detection via Window-Based Swin TransformerIEEE Access
    • 2025Towards Human-Like Invariance: Self-Supervised Learning with Feature-Level Rotation AlignmentICCV
    • 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary NetworksICLR
26. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련도관련 논문 6편비중 12%
    • 2025IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age TransformationArtificial Intelligence in Medicine
    • 2024EEG-Oriented Self-Supervised Learning with Triple Information Pathways NetworkIEEE TCYB
    • 2024Enhanced Functional Connectivity Representation by Contrastive Learning for Brain Disease DiagnosisOHBM
27. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 6편비중 6%
    • 2026Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-SpeechEMNLP
    • 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly DetectionICML
    • 2023Deep Contrastive Learning of Molecular Conformation for Efficient Property PredictionNature Computational Science
28. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 2편비중 2%연구 분야에 명시
    • 2025Uncertainty Aware Contrastive DecodingACL Findings
    • 2023Robust Contrastive Learning with Dynamic Mixed MarginIEEE Access
29. KU·컴퓨터 비전

    김동현UTL Lab

    관련도관련 논문 1편비중 2%연구 분야에 명시
    • 2026Delving into Pre-training for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain AdaptationIJCV
30. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 5편비중 5%
    • 2026Toward Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic SegmentationTPAMI
    • 2024FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial AttacksAAAI
    • 2024Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksECCV
31. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 4편비중 5%
    • 2026Soft Equivariance Regularization for Invariant Self-Supervised LearningICLR
    • 2026Status-Aware Self-Supervised Forecasting for Irregular Clinical Time SeriesICLR
    • 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformationICML
32. KU·AI for Science

    서현석IMPEL Lab

    관련도관련 논문 4편비중 17%
    • 2025Self-supervised deep learning model for denoising and distortion correction in accelerated echo planar imagingISMRM
    • 2025Self-supervised Denoising Model for 7T Angiography with Z-Directional Artery Focused DDPMISMRM
    • 2024Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter ProfileAAAI
33. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 3편비중 6%
    • 2026Atom-level Protein Representation Learning Improves Protein Structure PredictionNeurIPS
    • 2026scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation LearningNeurIPS
    • 2024Holistic Molecular Representation Learning via Multi-view FragmentationTMLR
34. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 4편비중 3%
    • 2026LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language ModelsEMNLP
    • 2025DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech RecognitionNAACL
    • 2024Fragment-based Multi-view Molecular Contrastive LearningTMLR
35. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 3편비중 8%
    • 2026OW-Rep: Open-World Object Detection with Instance Representation LearningWACV
    • 20253D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal DistillationAAAI
    • 2025Disentangled Representation Learning via Modular Compositional BiasNeurIPS
36. SNU·AI for Science

    이동헌BiLab

    관련도관련 논문 3편비중 6%
    • 2026KneeDINO: A Knee MRI Vision Foundation Model using Self-Supervised LearningMICCAI
    • 2025Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysisComputers in Biology and Medicine
    • 2025Derm-FairAnon: Mitigating Demographic Bias in Skin Image Anonymization with Self-supervised Preference OptimizationCVPR
37. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 3편비중 5%
    • 2026COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentationExpert Systems with Applications
    • 2025PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognitionExpert Systems with Applications
    • 2025PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity RecognitionABC
38. SNU·머신러닝

    이원종DRL Lab

    관련도관련 논문 1편비중 4%연구 분야에 명시
    • 2024Towards a Rigorous Analysis of Mutual Information in Contrastive LearningNeural Networks
39. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 5편비중 12%
    • 2024DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-trainingKnowledge-Based Systems
    • 2024Multi-task Self-supervised Time-series Representation LearningInformation Sciences
    • 2024Focus on Your Negative Samples in Time-Series Representation LearningAAAI
40. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련도관련 논문 4편비중 3%
    • 2026Revisiting data imbalance in token-based self-supervised learningNeurocomputing
    • 2024Contrastive Mean-Shift Learning for Generalized Category DiscoveryCVPR
    • 2024Self-supervised Learning of Semantic Correspondence Using Web VideosWACV
41. KAIST·자연어처리·LLM

    서민준LK Lab

    관련도관련 논문 4편비중 6%
    • 2025Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge AcquisitionICLR
    • 2025Latent action pretraining from videosICLR
    • 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?NeurIPS
42. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 1편비중 3%연구 분야에 명시
    • 2023An Investigation into Pre-Training Object-Centric Representations for Reinforcement LearningICML
43. SNU·로보틱스

    김현진LARR Lab

    관련도관련 논문 3편비중 4%
    • 2026Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver GenerationICRA
    • 2025Temporal Action Representation Learning for Aerial Maneuvering and Resource-Aware Decision-MakingRSS
    • 2023Scale-aware Visual-Inertial Depth Estimation and Odometry using Monocular Self-supervised LearningIEEE Access
44. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 2편비중 4%
    • 2026Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining DataACL
    • 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRAICLR
45. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련도관련 논문 3편비중 4%
    • 2026PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation LearningEMNLP
    • 2024Efficient Training for Multilingual Visual Speech Recognition: Pre-training with Discretized Visual Speech RepresentationACM MM
    • 2024Towards Practical and Efficient Image-To-Speech Captioning With Vision-Language Pre-Training and Multi-Modal TokensICASSP
46. KU·AI for Science

    감태의Medical AI Lab

    관련도관련 논문 3편비중 4%
    • 2026FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation LearningACL
    • 2024META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfacesExpert Systems with Applications
    • 2024Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) DiagnosisIEEE JBHI
47. SNU·AI for Science

    김선BHI Lab

    관련도관련 논문 4편비중 7%
    • 2025Improving Reaction Yield Prediction with Chemical Role and Reaction Center Aware Representation LearningJournal of Chemical Information and Modeling
    • 2024Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target InformationIEEE JBHI
    • 2023Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation LearningACL
48. SNU·머신러닝

    문태섭M.IN.D Lab

    관련도관련 논문 4편비중 9%
    • 2024MAFA: Managing False Negatives for Vision-Language Pre-trainingCVPR
    • 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised LearningICML
    • 2024Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning PerspectiveCoLLAs
49. Yonsei·컴퓨터 비전

    어영정Visual Intelligence Lab

    관련도연구 분야에 명시
50. SNU·자연어처리·LLM

    이상구IDS Lab

    관련도관련 논문 3편비중 19%
    • 2025When to Speak, When to Abstain: Contrastive Decoding with AbstentionACL
    • 2024Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy ContextsEMNLP Findings
    • 2023Multi-Scale Contrastive Learning for Complex Scene GenerationWACV
51. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련도관련 논문 2편비중 4%
    • 2026Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial TranscriptomicsMICCAI
    • 2025PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation LearningMICCAI
52. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 4편비중 11%
    • 2024Prompt Augmentation for Self-supervised Text-guided Image ManipulationCVPR
    • 20233D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective SurfacesICCV
    • 2023MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive LearningICCV
53. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 3편비중 3%
    • 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D AwarenessICCV
    • 2024The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation LearningACCV
    • 2023Unsupervised Pre-training for Data-Efficient Text-to-Speech on Low Resource LanguagesICASSP
54. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 2편비중 6%
    • 2026To View Transform or Not To View Transform: NeRF-based Pre-training PerspectiveICLR
    • 2024Continual Motion Prediction Learning Framework via Meta-Representation Learning and Optimal Memory Buffer Retention StrategyCVPR
55. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련도관련 논문 2편비중 5%
    • 2026ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsEACL
    • 2024BOK-VQA: Bilingual Outside Knowledge-based Visual Question Answering via Graph Representation PretrainingAAAI
56. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련도관련 논문 2편비중 4%
    • 2026Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete DiffusionNeurIPS
    • 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object PosesNeurIPS
57. Yonsei·컴퓨터 비전

    김선주CIPLab

    관련도관련 논문 2편비중 4%
    • 2026HuRo: Robotizing Human Videos for Scalable VLA PretrainingCoRL
    • 2024CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality AssessmentACCV
58. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 2편비중 3%
    • 2026A Variational Mean-Field Control Framework for Graph Representation LearningTPAMI
    • 2024OCL: Ordinal Contrastive Learning for Imputating Features with Progressive LabelsMICCAI
59. Yonsei·자연어처리·LLM

    한요섭TOC Lab

    관련도관련 논문 3편비중 6%
    • 2025Advanced Code Time Complexity Prediction Approach Using Contrastive LearningEngineering Applications of Artificial Intelligence
    • 2023ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech DetectionEMNLP Findings
    • 2023Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question AnsweringEACL
60. KAIST·머신러닝

    이기민

    관련도관련 논문 2편비중 4%
    • 2025Latent Action Pretraining from VideosICLR
    • 2025SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task ReplaySenSys

+48

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.