주제로 연구실 찾기

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 1편비중 3%연구 분야에 명시
    • 2023An Investigation into Pre-Training Object-Centric Representations for Reinforcement LearningICML
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. KAIST·머신러닝

    이기민

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

    이상완AI Brain Lab

    관련도관련 논문 3편비중 7%
    • 2024Pretraining with random noise for fast and robust learning without weight transportNeurIPS
    • 2024Self-supervised debiasing using low rank regularizationCVPR
    • 2023Training debiased subnetworks with contrastive weight pruningCVPR
28. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 3편비중 4%
    • 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation LearningICML
    • 2023Ranking-Enhanced Unsupervised Sentence Representation LearningACL
    • 2023Time-Aware Representation Learning for Time-Sensitive Question AnsweringEMNLP Findings
29. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 2편비중 4%
    • 2024Locally Conditioned GANs: Self-supervised Local Patch Representation Learning for Conditional GenerationIEEE Access
    • 2024Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect LabelsAAAI
30. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 1편비중 4%
    • 2026InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired ScoringNeurIPS
31. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 1편비중 1%
    • 2026Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question AnsweringWACV
32. KAIST·AI for Science

    최윤재

    관련도관련 논문 2편비중 3%
    • 2024Self-Supervised Contrastive Learning for Long-term ForecastingICLR
    • 2023Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time ResolutionICLR
33. KAIST·로보틱스

    박대형RIRO Lab

    관련도관련 논문 1편비중 7%
    • 2025Implicit Neural-Representation Learning for Elastic Deformable-Object ManipulationRSS
34. KAIST·머신러닝

    정송

    관련도관련 논문 1편비중 8%
    • 2025MA^2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-EncoderICLR
35. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 2편비중 4%
    • 2023Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous InputsICML
    • 2023URL: A Representation Learning Benchmark for Transferable Uncertainty EstimatesNeurIPS
36. KAIST·머신러닝

    문일철AAI Lab

    관련도관련 논문 1편비중 3%
    • 2025Diffusion Bridge AutoEncoders for Unsupervised Representation LearningICLR
37. KAIST·머신러닝

    성영철SISReL

    관련도관련 논문 1편비중 3%
    • 2025Online pre-training for offline-to-online reinforcement learningICML
38. KAIST·로보틱스

    임재환CLVR Lab

    관련도관련 논문 1편비중 8%
    • 2024SPRINT: Scalable Policy Pre-Training via Language Instruction RelabelingICRA
39. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 1편비중 2%
    • 2023Multi-Resolution Distillation for Self-Supervised Monocular Depth EstimationPattern Recognition Letters
40. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 1편비중 2%
    • 2023Implicit Contrastive Representation Learning with Guided Stop-gradientNeurIPS

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.