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Korea AI Labs

데이터 중심 AI

Data-centric AI · 연구실 57곳 · 논문 113편

다른 주제·대학과 함께 찾기
POSTECH2/15
KU8/23
Yonsei6/37
KAIST23/57
SNU18/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. KAIST데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 6편비중 25%연구 분야에 명시
    • 2026GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning KDD
    • 2026RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming KDD
    • 2025MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning NeurIPS
  2. KAIST컴퓨터 비전

    오태현AMI Lab

    관련 논문 4편비중 4%연구 분야에 명시
    • 2026How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization? CVPR
    • 2025SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Pattern Recognition Letters
    • 2024The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation The Visual Computer
  3. KAIST머신러닝

    문재균

    관련 논문 4편비중 20%
    • 2026PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion TMLR
    • 2026Efficient Data Selection for Split Neural Networks ICML
    • 2026Router-Guided Data Selection for Efficient Deep Learning ICML
  4. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 4편비중 4%
    • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression ICDE
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys
    • 2026Sequential Data Augmentation for Generative Recommendation WSDM
  5. KAIST컴퓨터 비전

    윤국진VI Lab

    관련 논문 4편비중 4%
    • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation ECCV
    • 2026FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model ECCV
    • 2026Multimodal Distribution Matching for Vision-Language Dataset Distillation CVPR
  6. KAIST데이터 마이닝

    이재길Data Mining Lab

    관련 논문 4편비중 10%연구 분야에 명시
    • 2025Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation NeurIPS
    • 2024Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI
    • 2023Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective VLDB
  7. KAIST머신러닝

    정혜원IIDS Lab

    관련 논문 4편비중 17%
    • 2026InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired Scoring NeurIPS
    • 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder NeurIPS
    • 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching ICML
  8. KAIST머신러닝

    문일철AAI Lab

    관련 논문 2편비중 5%연구 분야에 명시
    • 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ICLR
    • 2023Frequency Domain-based Dataset Distillation NeurIPS
  9. KAIST머신러닝

    윤세영OSI Lab

    관련 논문 6편비중 4%
    • 2024Fine-tuning Pre-trained Models for Robustness Under Noisy Labels IJCAI
    • 2024FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels TMLR
    • 2023A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI
  10. KAIST컴퓨터 비전

    심현정CVML Lab

    관련 논문 4편비중 8%
    • 2025MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation TMLR
    • 2025Label-Augmented Dataset Distillation WACV
    • 2024Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather ECCV
  11. SNU머신러닝

    이정우CML Lab

    관련 논문 3편비중 6%
    • 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI
    • 2025EDAS: Effective Data Augmentation Strategies for Test-Time Adaptation ICT Express
    • 2024Instance-Dependent Multi-Label Noise Generation for Multi-Label Remote Sensing Image Classification IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  12. KAIST머신러닝

    이주호SIML Lab

    관련 논문 3편비중 4%
    • 2026Generative active learning via Bayesian acquisition for improving the efficiency of synthetic data NeurIPS
    • 2025HarmAug: effective data augmentation for knowledge distillation of safety guard models ICLR
    • 2024Self-supervised dataset distillation for transfer learning ICLR
  13. KU자연어처리·LLM

    임희석NLP&AI Lab

    관련 논문 5편비중 5%
    • 2025LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP Findings
    • 2023CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients EMNLP
    • 2023Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation ICML
  14. 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
    • 2024ContextMix: A context-aware data augmentation method for industrial visual inspection systems Engineering Applications of Artificial Intelligence
    • 2024Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition ABC
  15. KAIST자연어처리·LLM

    김현우COCO Lab

    연구 분야에 명시
  16. KU컴퓨터 비전

    김동현UTL Lab

    관련 논문 3편비중 7%
    • 2025Learning Compositionality from Multifaceted Synthetic Data for Language-based Object Detection IJCV
    • 2025SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data ICCV
    • 2023Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV
  17. KAIST컴퓨터 비전

    김준모SIIT Lab

    관련 논문 3편비중 4%
    • 2025SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration ICCV
    • 2024ContextMix: A Context-Aware Data Augmentation Method for Industrial Visual Inspection Systems Engineering Applications of Artificial Intelligence
    • 2024Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels IJCAI
  18. KAIST머신러닝

    황성주MLAI Lab

    관련 논문 3편비중 3%
    • 2025HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models ICLR
    • 2024Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP
    • 2024Self-Supervised Dataset Distillation for Transfer Learning ICLR
  19. KAIST머신러닝

    신진우ALIN Lab

    관련 논문 2편비중 2%
    • 2026Pose6DAug: Physically Plausible Multi-view Object Swapping for Robot Data Augmentation NeurIPS
    • 2025Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation ICLR
  20. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 2편비중 2%
    • 2026ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets CVPR
    • 2025Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark KDD
  21. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 2편비중 4%
    • 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection ICML
    • 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS
  22. KAIST자연어처리·LLM

    임경태MLP Lab

    관련 논문 2편비중 5%
    • 2026Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text EMNLP
    • 2023Data Augmentation of X-ray Images for Automatic Cargo Inspection of Nuclear Items Sensors
  23. SNU데이터 마이닝

    강유Data Mining Lab

    관련 논문 2편비중 3%
    • 2025Threshold-Based Exploitation of Noisy Label in Black-box Unsupervised Domain Adaptation PLOS ONE
    • 2024Domain-Aware Data Selection for Speech Classification via Meta-Reweighting INTERSPEECH
  24. SNUAI 시스템

    정형수DBX Lab

    관련 논문 1편비중 11%
    • 2026P2Cache: Enhancing Data-Centric Applications via Application-Guided Management of OS Page Caches ACM Transactions on Storage
  25. SNUAI for Science

    김덕진SatGeo Lab

    관련 논문 2편비중 3%
    • 2025Enhancing MIMO Radar Data Quality via Stereo-Camera-Guided Diffusion Models IEEE Sensors Journal
    • 2023SAR-specific Data Augmentation Methods for Deep Learning-based Automatic Target Recognition International Symposium on Remote Sensing
  26. SNU음성·오디오

    이교구MARG

    관련 논문 2편비중 3%
    • 2025Synthetic Dataset Generation for String Ensemble Separation ICASSP
    • 2023Self-Refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data ISMIR
  27. POSTECHAI for Science

    김원화, 류일우MIP Lab

    관련 논문 2편비중 3%
    • 2025Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction MICCAI
    • 2023Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation MICCAI
  28. SNU인간-AI 상호작용

    권가진CC Lab

    관련 논문 1편비중 5%
    • 2026Deriving Instructional Insights from Human–LLM Co-Evaluation of Student Collaboration in Data-Centric Programming SIGCSE Technical Symposium
  29. KAIST머신러닝

    이기민

    관련 논문 1편비중 2%
    • 2026Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning ICRA
  30. SNUAI for Science

    손석우Weather and Climate Dynamics Lab

    관련 논문 1편비중 1%
    • 2026Machine learning based prediction of tropical cyclone rapid intensification in the western north Pacific: Importance of data augmentation and loss function Journal of Geophysical Research - Machine Learning and Computation
  31. KAIST음성·오디오

    정준선Multimodal AI Lab

    관련 논문 1편비중 1%
    • 2026How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization? CVPR
  32. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 1편비중 1%
    • 2026AHS: Adaptive Head Synthesis via Synthetic Data Augmentations CVPR
  33. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 1편비중 1%
    • 2026Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach CVPR Findings
  34. Yonsei머신러닝

    조성배SCLAB

    관련 논문 1편비중 1%
    • 2026Adaptive Beam Search with Shannon Entropy for Data-centric Reasoning in LLMs PAKDD
  35. KU자연어처리·LLM

    정우환Autonomous AI Lab

    관련 논문 1편비중 6%
    • 2025Data Augmentation for Messenger Phishing Detection Using Large Language Models ICEIC
  36. Yonsei데이터 마이닝

    김하영MLCF Lab

    관련 논문 1편비중 4%
    • 2025Data Augmentation with Flickering Backgrounds and Instances for Instance Segmentation IEEE Access
  37. Yonsei자연어처리·LLM

    한요섭TOC Lab

    관련 논문 2편비중 4%
    • 2023Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question Answering EACL
    • 2023GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP Findings
  38. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 1편비중 2%
    • 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift Neurocomputing
  39. Yonsei데이터 마이닝

    장백철ANDLab

    관련 논문 1편비중 3%
    • 2025Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea PLOS ONE
  40. SNU컴퓨터 비전

    조남익ISPL

    관련 논문 1편비중 2%
    • 2025Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models IEEE SPL
  41. KU머신러닝2026 업데이트 중

    정원주Statistical Intelligence Lab

    관련 논문 1편비중 14%
    • 2024Globally Conditioned Conditional FLOW (GCC-FLOW) for Sea Clutter Data Augmentation Applied Sciences
  42. SNUAI 시스템

    이재진THUNDER Research Group

    관련 논문 1편비중 5%
    • 2024Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP
  43. KAIST머신러닝

    김기응AIPR Lab

    관련 논문 1편비중 4%
    • 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NeurIPS
  44. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 1편비중 3%
    • 2024Mixed-Type Defect Pattern Recognition in Noisy Labeled Wafer Bin Maps Quality Engineering
  45. KU음성·오디오

    김찬우SLPL

    관련 논문 1편비중 4%
    • 2024Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech Synthesis ICASSP
  46. SNU컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 1편비중 1%
    • 2024Practical Dataset Distillation Based on Deep Support Vector ECCV
  47. SNU로보틱스

    최준원ADR Lab

    관련 논문 1편비중 3%
    • 2024Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels ECCV
  48. KU자연어처리·LLM

    이상근Data Intelligence Lab

    관련 논문 1편비중 3%
    • 2024Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL
  49. Yonsei자연어처리·LLM

    이동하DLI Lab

    관련 논문 1편비중 2%
    • 2024Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection CVPR
  50. SNU머신러닝

    윤성로AI Lab

    관련 논문 1편비중 1%
    • 2024SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation ICLR
  51. KAIST컴퓨터 비전

    김승룡CV Lab

    관련 논문 1편비중 1%
    • 2024SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels IJCV
  52. SNU머신러닝

    송현오Machine Learning Lab

    관련 논문 1편비중 6%
    • 2023Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NeurIPS
  53. SNU데이터 마이닝

    유재민Data AI Lab

    관련 논문 1편비중 4%
    • 2023Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success TMLR
  54. SNU머신러닝

    장병탁BI Lab

    관련 논문 1편비중 1%
    • 2023Domain Adapted Broiler Density Map Estimation Using Negative-Patch Data Augmentation Biosystems Engineering
  55. SNU자연어처리·LLM

    정교민MI Lab

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

    양은호MLI Lab

    관련 논문 1편비중 1%
    • 2023WeavSpeech: Data Augmentation Strategy for Automatic Speech Recognition via Semantic-Aware Weaving ICASSP
  57. KU머신러닝

    이성환PRML Lab

    관련 논문 1편비중 1%
    • 2023SeriesSleepNet: An EEG Time Series Model with Partial Data Augmentation for Automatic Sleep Stage Scoring Frontiers in Physiology