관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- Yonsei머신러닝
이기복Machine Learning Lab
관련 논문 7편비중 37%연구 분야에 명시- 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR
- 2025On the Similarities of Embeddings in Contrastive Learning ICML
- 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning NeurIPS
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 12편비중 12%- 2026scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation Learning NeurIPS
- 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification ICML
- 20253D Interaction Geometric Pre-training for Molecular Relational Learning NeurIPS
- KAISTAI for Science
예종철BISPL
관련 논문 13편비중 11%- 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts ICML
- 2026Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis EMNLP
- 2026Diverse Text-to-Image Generation via Contrastive Noise Optimization ICLR
- KAIST머신러닝
신진우ALIN Lab
관련 논문 12편비중 9%- 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data NeurIPS
- 2026Contrastive Representation Regularization for Vision-Language-Action Models ICML
- 2025Closest Neighbors are Harmful for Lightweight Masked Auto-encoders CVPR
- KU머신러닝
이성환PRML Lab
관련 논문 10편비중 6%- 2026Semantic-Level Invariant Representation Learning for Cross-Hospital Clinical EEG Modeling NeurIPS
- 2026FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation Neural Networks
- 2026Negative Contrastive Chain-of-Thought Distillation for Transfer Reasoning Capability to Small Language Models IEEE Access
- SNU컴퓨터 비전
조남익ISPL
관련 논문 8편비중 13%- 2026TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising CVPR
- 2026DINOLight: Robust Ambient Light Normalization with Self-supervised Visual Prior Integration ICPR
- 2026UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation IEEE Access
- Yonsei머신러닝
조성배SCLAB
관련 논문 8편비중 11%- 2026Graph Representation Learning with Laplacian Pyramid Residuals for Graph Classification PAKDD
- 2026Hyperbolic Spatio-Temporal Representation Learning for Unsupervised Video Anomaly Detection ICPR
- 2026Contrastive learning of prototypical network for detecting phishing URL Logic Journal of the IGPL
- Yonsei머신러닝
손지용ITML Lab
관련 논문 6편비중 25%연구 분야에 명시- 2025On the Similarities of Embeddings in Contrastive Learning ICML
- 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning NeurIPS
- 2025A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS
- KAIST머신러닝
윤세영OSI Lab
관련 논문 11편비중 8%- 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML
- 2025MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR
- 2025VSCoDe: Visual-Augmentation Selection for Contrastive Decoding TMLR
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 논문 10편비중 12%- 2026TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment CVPR
- 2026HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene WACV
- 2024CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning ECCV
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 7편비중 12%연구 분야에 명시- 2025Latent Diffusion Models with Masked AutoEncoders ICCV
- 2024Dictionary Contrastive Forward Learning via Adaptive Label Embeddings ICLR
- 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models ICML
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 8편비중 10%- 2026Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation NeurIPS
- 2026Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance ICML
- 2025FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition INTERSPEECH
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 8편비중 9%- 2026Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI
- 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple Remedy ICML
- 2025A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation CIKM
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 9편비중 10%- 2026Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source Localization IJCV
- 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding NeurIPS
- 2024Disentangled Representation Learning for Environment-agnostic Speaker Recognition INTERSPEECH
- KAIST머신러닝
이주호SIML Lab
관련 논문 7편비중 9%- 2026Soft equivariance regularization for invariant self-supervised learning ICLR
- 2026Stochastic optimal control for continuous-time fMRI representation learning ICLR
- 2024Self-supervised dataset distillation for transfer learning ICLR
- SNU음성·오디오
이교구MARG
관련 논문 3편비중 4%연구 분야에 명시- 2026Exploring the Design Space of Representation Learning for Audio Transformations ISMIR
- 2025Voice-Based Dysphagia Detection: Leveraging Self-Supervised Speech Representation INTERSPEECH
- 2023Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects ICASSP
- KAIST머신러닝
황성주MLAI Lab
관련 논문 8편비중 8%- 2026Synthon Contrastive Learning for Synthesizable 3D Molecule Generation NeurIPS
- 2024Self-Supervised Dataset Distillation for Transfer Learning ICLR
- 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment ICML
- SNU데이터 마이닝
유재민Data AI Lab
관련 논문 5편비중 19%- 2026Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI
- 2025Self-Tuning Self-Supervised Image Anomaly Detection KDD
- 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly Detection SDM
- SNU머신러닝
이상학Causality Lab
관련 논문 2편비중 7%연구 분야에 명시- 2026On Causal Representation Learning with Internal Auxiliaries UAI
- 2025Instrumental Variable Representation Learning under Confounded Covariates NeurIPS
- KU자연어처리·LLM
이상근Data Intelligence Lab
관련 논문 5편비중 14%- 2026Chronos: Chronology-Grounded Continued Pre-training for Language Model Adaptation to Materials Science EMNLP
- 2025Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning PAKDD
- 2024MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction EMNLP
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 8편비중 6%- 2024Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR
- 2024Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning ICML
- 2024Self-Supervised Contrastive Forecasting ICLR
- KAIST데이터 마이닝
황지영Big Data Intelligence Lab
관련 논문 5편비중 24%- 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion ICML
- 2025Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs ICML
- 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML
- KAIST컴퓨터 비전
김승욱GLOW Lab
관련 논문 2편비중 14%연구 분야에 명시- 2026Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision ECCV
- 2023DreamTeacher: Pretraining Image Backbones with Deep Generative Models ICCV
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 5편비중 7%- 2026Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese Network ICLR
- 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation WSDM
- 2025FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features AAAI
- SNU머신러닝2026 업데이트 중
강명주NCIA Lab
관련 논문 6편비중 16%- 2025Enhancing Wafer Probing With SwinProbeFormer: Self-Supervised Anomaly Detection via Window-Based Swin Transformer IEEE Access
- 2025Towards Human-Like Invariance: Self-Supervised Learning with Feature-Level Rotation Alignment ICCV
- 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks ICLR
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 6편비중 12%- 2025IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation Artificial Intelligence in Medicine
- 2024EEG-Oriented Self-Supervised Learning with Triple Information Pathways Network IEEE TCYB
- 2024Enhanced Functional Connectivity Representation by Contrastive Learning for Brain Disease Diagnosis OHBM
- SNU머신러닝
윤성로AI Lab
관련 논문 6편비중 6%- 2026Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-Speech EMNLP
- 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML
- 2023Deep Contrastive Learning of Molecular Conformation for Efficient Property Prediction Nature Computational Science
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 2편비중 2%연구 분야에 명시- 2025Uncertainty Aware Contrastive Decoding ACL Findings
- 2023Robust Contrastive Learning with Dynamic Mixed Margin IEEE Access
- KU컴퓨터 비전
김동현UTL Lab
관련 논문 1편비중 2%연구 분야에 명시- 2026Delving into Pre-training for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain Adaptation IJCV
- KAIST컴퓨터 비전
윤국진VI Lab
관련 논문 5편비중 5%- 2026Toward Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic Segmentation TPAMI
- 2024FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI
- 2024Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks ECCV
- KAIST머신러닝
양은호MLI Lab
관련 논문 4편비중 5%- 2026Soft Equivariance Regularization for Invariant Self-Supervised Learning ICLR
- 2026Status-Aware Self-Supervised Forecasting for Irregular Clinical Time Series ICLR
- 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML
- KUAI for Science
서현석IMPEL Lab
관련 논문 4편비중 17%- 2025Self-supervised deep learning model for denoising and distortion correction in accelerated echo planar imaging ISMRM
- 2025Self-supervised Denoising Model for 7T Angiography with Z-Directional Artery Focused DDPM ISMRM
- 2024Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile AAAI
- KAIST머신러닝
안성수SPML Lab
관련 논문 3편비중 6%- 2026Atom-level Protein Representation Learning Improves Protein Structure Prediction NeurIPS
- 2026scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation Learning NeurIPS
- 2024Holistic Molecular Representation Learning via Multi-view Fragmentation TMLR
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 4편비중 3%- 2026LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language Models EMNLP
- 2025DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition NAACL
- 2024Fragment-based Multi-view Molecular Contrastive Learning TMLR
- KAIST컴퓨터 비전
홍승훈Vision and Learning Lab
관련 논문 3편비중 8%- 2026OW-Rep: Open-World Object Detection with Instance Representation Learning WACV
- 20253D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI
- 2025Disentangled Representation Learning via Modular Compositional Bias NeurIPS
- SNUAI for Science
이동헌BiLab
관련 논문 3편비중 6%- 2026KneeDINO: A Knee MRI Vision Foundation Model using Self-Supervised Learning MICCAI
- 2025Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysis Computers in Biology and Medicine
- 2025Derm-FairAnon: Mitigating Demographic Bias in Skin Image Anonymization with Self-supervised Preference Optimization CVPR
- SNU머신러닝
이원종DRL Lab
관련 논문 1편비중 4%연구 분야에 명시- 2024Towards a Rigorous Analysis of Mutual Information in Contrastive Learning Neural Networks
- KU인간-AI 상호작용
서승호HUI
관련 논문 3편비중 5%- 2026COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentation Expert Systems with Applications
- 2025PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognition Expert Systems with Applications
- 2025PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition ABC
- SNU데이터 마이닝
강필성DSBA Lab
관련 논문 5편비중 12%- 2024DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training Knowledge-Based Systems
- 2024Multi-task Self-supervised Time-series Representation Learning Information Sciences
- 2024Focus on Your Negative Samples in Time-Series Representation Learning AAAI
- POSTECH컴퓨터 비전
곽수하, 조민수, 손진희CV Lab
관련 논문 4편비중 3%- 2026Revisiting data imbalance in token-based self-supervised learning Neurocomputing
- 2024Contrastive Mean-Shift Learning for Generalized Category Discovery CVPR
- 2024Self-supervised Learning of Semantic Correspondence Using Web Videos WACV
- KAIST자연어처리·LLM
서민준LK Lab
관련 논문 4편비중 6%- 2025Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition ICLR
- 2025Latent action pretraining from videos ICLR
- 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining? NeurIPS
- KAIST머신러닝
안성진MLML
관련 논문 1편비중 3%연구 분야에 명시- 2023An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML
- SNU로보틱스
김현진LARR Lab
관련 논문 3편비중 4%- 2026Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation ICRA
- 2025Temporal Action Representation Learning for Aerial Maneuvering and Resource-Aware Decision-Making RSS
- 2023Scale-aware Visual-Inertial Depth Estimation and Odometry using Monocular Self-supervised Learning IEEE Access
- Yonsei자연어처리·LLM
김재형ML3 Lab
관련 논문 2편비중 4%- 2026Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data ACL
- 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA ICLR
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 3편비중 4%- 2026PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation Learning EMNLP
- 2024Efficient Training for Multilingual Visual Speech Recognition: Pre-training with Discretized Visual Speech Representation ACM MM
- 2024Towards Practical and Efficient Image-To-Speech Captioning With Vision-Language Pre-Training and Multi-Modal Tokens ICASSP
- KUAI for Science
감태의Medical AI Lab
관련 논문 3편비중 4%- 2026FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation Learning ACL
- 2024META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces Expert Systems with Applications
- 2024Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis IEEE JBHI
- SNUAI for Science
김선BHI Lab
관련 논문 4편비중 7%- 2025Improving Reaction Yield Prediction with Chemical Role and Reaction Center Aware Representation Learning Journal of Chemical Information and Modeling
- 2024Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information IEEE JBHI
- 2023Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning ACL
- SNU머신러닝
문태섭M.IN.D Lab
관련 논문 4편비중 9%- 2024MAFA: Managing False Negatives for Vision-Language Pre-training CVPR
- 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML
- 2024Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective CoLLAs
- Yonsei컴퓨터 비전
어영정Visual Intelligence Lab
연구 분야에 명시 - SNU자연어처리·LLM
이상구IDS Lab
관련 논문 3편비중 19%- 2025When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL
- 2024Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP Findings
- 2023Multi-Scale Contrastive Learning for Complex Scene Generation WACV
- Yonsei컴퓨터 비전
황성재MICV Lab
관련 논문 2편비중 4%- 2026Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics MICCAI
- 2025PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning MICCAI
- KAIST컴퓨터 비전
김태균CV & Learning Lab
관련 논문 4편비중 11%- 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulation CVPR
- 20233D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces ICCV
- 2023MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning ICCV
- KAIST컴퓨터 비전
오태현AMI Lab
관련 논문 3편비중 3%- 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D Awareness ICCV
- 2024The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning ACCV
- 2023Unsupervised Pre-training for Data-Efficient Text-to-Speech on Low Resource Languages ICASSP
- KAIST로보틱스
금동석AXE Lab
관련 논문 2편비중 6%- 2026To View Transform or Not To View Transform: NeRF-based Pre-training Perspective ICLR
- 2024Continual Motion Prediction Learning Framework via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR
- KAIST자연어처리·LLM
임경태MLP Lab
관련 논문 2편비중 5%- 2026ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs EACL
- 2024BOK-VQA: Bilingual Outside Knowledge-based Visual Question Answering via Graph Representation Pretraining AAAI
- KAIST컴퓨터 비전
성민혁Visual AI Group
관련 논문 2편비중 4%- 2026Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion NeurIPS
- 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses NeurIPS
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 2편비중 4%- 2026HuRo: Robotizing Human Videos for Scalable VLA Pretraining CoRL
- 2024CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment ACCV
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 2편비중 3%- 2026A Variational Mean-Field Control Framework for Graph Representation Learning TPAMI
- 2024OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels MICCAI
- Yonsei자연어처리·LLM
한요섭TOC Lab
관련 논문 3편비중 6%- 2025Advanced Code Time Complexity Prediction Approach Using Contrastive Learning Engineering Applications of Artificial Intelligence
- 2023ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP Findings
- 2023Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question Answering EACL
- KAIST머신러닝
이기민
관련 논문 2편비중 4%- 2025Latent Action Pretraining from Videos ICLR
- 2025SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay SenSys
- KU음성·오디오
김찬우SLPL
관련 논문 2편비중 8%- 2026Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG Rhythms for Alzheimer's Disease Detection BioCAS
- 2023Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data ICASSP
- KAIST머신러닝
이상완AI Brain Lab
관련 논문 3편비중 7%- 2024Pretraining with random noise for fast and robust learning without weight transport NeurIPS
- 2024Self-supervised debiasing using low rank regularization CVPR
- 2023Training debiased subnetworks with contrastive weight pruning CVPR
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 2편비중 2%- 2026MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training EMNLP
- 2023Self-Distilled Self-Supervised Representation Learning WACV
- KU머신러닝
이창희AIX
관련 논문 2편비중 5%- 2025Enhancing Multi-Level Cross-Modal Interaction with False Negative-Aware Contrastive Learning for Text-Video Retrieval Applied Intelligence
- 2024Toward a Better Discrimination and Calibration via Survival Outcome-Aware Contrastive Learning NeurIPS
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 3편비중 4%- 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning ICML
- 2023Ranking-Enhanced Unsupervised Sentence Representation Learning ACL
- 2023Time-Aware Representation Learning for Time-Sensitive Question Answering EMNLP Findings
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 2편비중 4%- 2025LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning HiPC
- 2024PretrainedBA: Enhancing Compound-Protein Binding Affinity Prediction Accuracy via Pre-training Large-Scale Interaction Information BIBM
- SNU데이터 마이닝
강유Data Mining Lab
관련 논문 2편비중 3%- 2025AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification PAKDD
- 2024Accurate graph classification via two-staged contrastive curriculum learning PLOS ONE
- POSTECH자연어처리·LLM
이근배, 김형훈NLP Lab
관련 논문 2편비중 2%- 2025DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition NAACL
- 2024Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning SIGDIAL
- SNU자연어처리·LLM
이재윤SKI-ML Lab
관련 논문 1편비중 4%- 2026Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning TACL
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 2편비중 4%- 2024Locally Conditioned GANs: Self-supervised Local Patch Representation Learning for Conditional Generation IEEE Access
- 2024Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels AAAI
- KAIST머신러닝
정혜원IIDS Lab
관련 논문 1편비중 4%- 2026InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired Scoring NeurIPS
- SNU머신러닝
김태섭LAAL Lab
관련 논문 1편비중 3%- 2026Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs CVPR Findings
- KU머신러닝
이병준Decision Making Lab
관련 논문 1편비중 3%- 2026FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment CVPR
- Yonsei컴퓨터 비전
박은병V-Lab
관련 논문 1편비중 3%- 2026Contrastive Flow Map Matching ICML
- SNU머신러닝
이정우CML Lab
관련 논문 1편비중 2%- 2026Efficient Process Reward Modeling via Contrastive Mutual Information ACL
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 1편비중 1%- 2026D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI ICLR
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 1편비중 1%- 2026Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering WACV
- Yonsei컴퓨터 비전
오유진OMAEL
관련 논문 2편비중 18%- 2024C-DARL: Contrastive Diffusion Adversarial Representation Learning for Label-free Blood Vessel Segmentation Medical Image Analysis
- 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR
- KAISTAI for Science
최윤재
관련 논문 2편비중 3%- 2024Self-Supervised Contrastive Learning for Long-term Forecasting ICLR
- 2023Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution ICLR
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 2편비중 3%- 2024Boosting Speech Enhancement with Clean Self-Supervised Features via Conditional Variational Autoencoders ICASSP
- 2023Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation EMNLP
- KU머신러닝
정종헌TAIL
관련 논문 2편비중 9%- 2023Guiding Energy-based Models via Contrastive Latent Variables ICLR
- 2023Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder NeurIPS
- Yonsei데이터 마이닝
이경호ICL
관련 논문 2편비중 8%- 2023CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System EACL
- 2023Cross-Modal Contrastive Learning for Aspect-based Recommendation Information Fusion
- KAIST로보틱스
박대형RIRO Lab
관련 논문 1편비중 7%- 2025Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulation RSS
- KAIST머신러닝
정송
관련 논문 1편비중 8%- 2025MA^2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR
- SNU인간-AI 상호작용
권가진CC Lab
관련 논문 1편비중 5%- 2025MERNet: Multimodal Emotion Recognition in Conversation Network via Cross-Modal Knowledge Distillation and Contrastive Learning BigComp
- SNU머신러닝
김용대IDEA Lab
관련 논문 1편비중 4%- 2025Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics TPAMI
- KAIST머신러닝
오성준STAI Lab
관련 논문 2편비중 4%- 2023Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML
- 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates NeurIPS
- SNU자연어처리·LLM
도재영AIDAS Lab
관련 논문 1편비중 3%- 2025SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding ICML
- SNU로보틱스
최준원ADR Lab
관련 논문 1편비중 3%- 2025Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition Neurocomputing
- KAIST머신러닝
문일철AAI Lab
관련 논문 1편비중 3%- 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning ICLR
- KAIST머신러닝
성영철SISReL
관련 논문 1편비중 3%- 2025Online pre-training for offline-to-online reinforcement learning ICML
- POSTECH음성·오디오
서영주AIoT Lab
관련 논문 1편비중 3%- 2025EmoSDS: Unified Emotionally Adaptive Spoken Dialogue System Using Self-Supervised Speech Representations Future Internet
- Yonsei컴퓨터 비전
이종석MCML Group
관련 논문 1편비중 3%- 2025Clean-to-clean: Pretraining vision transformers without additional data Machine Vision and Applications
- Yonsei머신러닝
한동준Edge AI Lab
관련 논문 1편비중 2%- 2025Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI
- KAIST로보틱스
임재환CLVR Lab
관련 논문 1편비중 8%- 2024SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling ICRA
- KU머신러닝
성준경BREIN Lab
관련 논문 1편비중 6%- 2024Disentangling brain atrophy heterogeneity in Alzheimer's disease: A deep self-supervised approach with interpretable latent space NeuroImage
- SNU컴퓨터 비전
김건희Vision & Learning Lab
관련 논문 1편비중 2%- 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS
- SNU머신러닝
장병탁BI Lab
관련 논문 1편비중 1%- 2024DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning AAAI
- SNU컴퓨터 비전
전세영ICL
관련 논문 1편비중 1%- 2024Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration ECCV
- SNU자연어처리·LLM
황승원LDI Lab
관련 논문 1편비중 1%- 2024ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval NAACL
- KU컴퓨터 비전
김상필Computer Vision Lab
관련 논문 1편비중 2%- 2024Self-Supervised Multimodal Graph Convolutional Network for Collaborative Filtering Information Sciences
- KU머신러닝
Anh TongStochastic Dynamics and Machine Learning Lab
관련 논문 1편비중 11%- 2023Global Contrastive Learning for Long-Tailed Classification TMLR
- KU머신러닝
박세준Efficient Inference and Learning Lab
관련 논문 1편비중 8%- 2023Guiding Energy-based Models via Contrastive Latent Variables ICLR
- SNU머신러닝
송현오Machine Learning Lab
관련 논문 1편비중 6%- 2023Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NeurIPS
- KAIST컴퓨터 비전
윤성의SGVR Lab
관련 논문 1편비중 2%- 2023Multi-Resolution Distillation for Self-Supervised Monocular Depth Estimation Pattern Recognition Letters
- KAIST머신러닝
최재식SAIL Lab
관련 논문 1편비중 2%- 2023Implicit Contrastive Representation Learning with Guided Stop-gradient NeurIPS
- Yonsei자연어처리·LLM
이동하DLI Lab
관련 논문 1편비중 2%- 2023SCStory: Self-supervised and Continual Online Story Discovery WWW
- Yonsei컴퓨터 비전
전해곤Visual AI Lab
관련 논문 1편비중 2%- 2023Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance IEEE Access