머신러닝, 학회
ICML 논문을 낸 국내 연구실
탑티어International Conference on Machine Learning. 2023년 이후 논문 284편, 연구실 148곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 MLCF김하영 교수신생 랩모집 안내 | 연세대 | 10 | 23 | 27 | |
 PRISM Lab정형진 교수신생 랩모집 안내 | 고려대 | 22 | 25 | 4 | |
 SNU GSDS Lee Lab이승근 교수 | 서울대 | 1 | 6 | – | |
 Ubiquitous AI Lab. 유비쿼터스 인공지능 연구실공태식 교수신생 랩모집 안내 | UNIST | 13 | 21 | 5 | |
 Users and Information Lab오혜연 교수 | KAIST | 33 | 45 | – | |
 Vision & AI Lab이정범 교수신생 랩모집 안내 | 고려대 | 8 | 9 | 21 | |
 Visual Information Processing Lab이준석 교수모집 안내 | 서울대 | 26 | 40 | 58 | |
 Visual intelligence어영정 교수 | 연세대 | 22 | 26 | – |
최근 논문
- LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
2025, 예종철 연구실
- Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
2025, 윤철희 연구실
- Linear Bandits with Partially Observable Features
2025, Programming Languages Lab, 오민환 연구실, 생성형 지능시스템 연구실 (Generative Intelligence Lab)
- Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
2025, Statistical Artificial Intelligence Lab
- Long-Form Speech Generation with Spoken Language Models
2025, IVY Lab & IVL Lab
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
2025, 기계학습 및 비전 연구실
- Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
2025, ITML
- Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
2025, Machine Learning Lab
- Minimum Width for Universal Approximation using Squashable Activation Functions
2025, Efficient Inference and Learning Lab
- Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
2025, 신기정 연구실
- MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
2025, 윤세영 연구실
- Monte Carlo Tree Diffusion for System 2 Planning
2025, 머신러닝 & 마인드 랩
- Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
2025, 기계학습 및 비전 연구실, 이교구 연구실
- NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
2025, 기계학습 및 의사결정 연구실
- Neural Genetic Search in Discrete Spaces
2025, 김현아 연구실, System Intelligence Lab
- Offline Model-based Optimization for Real-World Molecular Discovery
2025, 의료인공지능연구실
- One-Step Generalization Ratio Guided Optimization for Domain Generalization
2025, 인공지능융합연구실
- Online Pre-Training for Offline-to-Online Reinforcement Learning
2025, AI Cognition Optimization with Reinforcement & Exploration (AI-CORE) Lab. 지능 최적화 및 강화학습 연구실, 스마트 정보 시스템 연구실
- On the Similarities of Embeddings in Contrastive Learning
2025, Machine Learning Lab, ITML
- Optimal and Practical Batched Linear Bandit Algorithm
2025, 오민환 연구실