머신러닝, 학회
ICML 논문을 낸 국내 연구실
탑티어International Conference on Machine Learning. 2023년 이후 논문 284편, 연구실 148곳
이 학회에 논문을 낸 연구실
UNIST 나형호 교수신생 랩
탑티어 5전체 9구성원 1
강화학습대규모 언어 모델UNIST 윤성환 교수모집 안내
탑티어 8전체 16구성원 21
연합·분산 학습지속·전이 학습
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 AI² 연구실김대영 교수 | KAIST | 9 | 31 | 20 | |
 Algorithmic Foundations of Data Science LabChenglin Fan 교수신생 랩 | 서울대 | 8 | 15 | – | |
 Autonomous Systems and Decision-making Lab. 자율 시스템 및 의사결정 연구실나형호 교수신생 랩 | UNIST | 5 | 9 | 1 | |
 Brain and Machine Intelligence Lab권민혜 교수 | 성균관대 | 4 | 19 | 8 | |
 Changwook Jeong Research Group. 정창욱 연구 그룹정창욱 교수모집 안내 | UNIST | 3 | 4 | 29 | |
 Communications-X Lab이남윤 교수 | POSTECH | 4 | 76 | – | |
 Computer Systems & Intelligence Lab김유성 교수 | 성균관대 | 4 | 14 | – | |
 Computer Vision Lab함범섭 교수모집 안내 | 연세대 | 17 | 24 | 16 | |
 Computer Vision Lab (CVLAB)김상필 교수모집 안내 | 고려대 | 32 | 50 | 24 | |
 Engineering Data Science Lab김희영 교수 | KAIST | 9 | 25 | 2 | |
 HLILab박진영 교수 | 성균관대 | 7 | 17 | – | |
 INA Research Group한동수 교수모집 안내 | KAIST | 7 | 24 | 33 | |
 IVY Lab & IVL Lab노용만 교수 | KAIST | 46 | 67 | 24 | |
 KAIST AIPR Lab김기응 교수 | KAIST | 19 | 21 | 1 | |
 LearnData laboratory박호건 교수모집 안내 | 성균관대 | 20 | 34 | – | |
 LICS · Lab for Informatics, Communications, and Systems이상현 교수모집 안내 | 고려대 | 11 | 71 | – | |
 Machine Intelligence and Information Theory Lab. 기계지능 및 정보학습 연구실윤성환 교수모집 안내 | UNIST | 8 | 16 | 21 | |
 Machine Learning Lab박은혁 교수 | POSTECH | 18 | 29 | 12 | |
 MIPA Laboratory곽노준 교수 | 서울대 | 33 | 61 | 53 | |
 MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 |
최근 논문
- SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
2025, 인공지능 및 빅데이터 시스템 연구실
- Self-supervised Adversarial Purification for Graph Neural Networks
2025, LearnData laboratory
- Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
2025, 지능형 계산영상 연구실
- Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
2025, 빅데이터 지능 연구실
- Stochastic Encodings for Active Feature Acquisition
2025, Actionable Intelligence Lab
- Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
2025, 빅데이터 지능 연구실
- Symmetry-Aware GFlowNets
2025, 오민환 연구실, SNU GSDS Lee Lab
- Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
2025, Machine Learning & Intelligent Control Lab. 기계학습 및 지능형제어 연구실
- Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
2025, Brain and Machine Intelligence Lab
- Tensor Product Neural Networks for Functional ANOVA Model
2025, IDEA Lab
- Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
2025, Computer Vision Lab (CVLAB), 기계학습 및 의사결정 연구실
- Test-Time Adaptation with Binary Feedback
2025, AGI-LAB, KAIST, Mobile Intelligence & Interaction Laboratory, Ubiquitous AI Lab. 유비쿼터스 인공지능 연구실
- Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
2025, 박찬영 연구실
- TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
2025, 양은호 연구실
- Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
2025, 인공지능 연구실
- TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
2025, Embedded AI Lab
- Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
2025, 인포메이션시스템즈
- Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
2025, 윤철희 연구실
- Unpaired Point Cloud Completion via Unbalanced Optimal Transport
2025, 강명주 연구실
- Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
2025, 인공지능 연구실