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
- Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation
2025, 인공지능 연구실
- ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
2025, Computer Vision Lab
- Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
2025, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
2025, 지능형 로봇시스템 연구실, 인공지능 및 머신러닝 연구실
- Ensemble Distribution Distillation via Flow Matching
2025, 이주호 연구실
- Fair Clustering via Alignment
2025, IDEA Lab
- Federated Learning for Feature Generalization with Convex Constraints
2025, 인공지능융합연구실
- Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
2025, 컴퓨터비젼 연구실
- Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
2025, Interactive Machine Learning Lab
- FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
2025, 아키텍처 및 코드 최적화 연구실
- Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
2025, Programming Languages Lab, Efficient Inference and Learning Lab
- FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
2025, 인공지능 및 머신러닝 연구실
- Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
2025, 박찬영 연구실
- Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
2025, Computer Systems & Intelligence Lab
- GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
2025, 머신러닝 연구실, 아키텍처 및 코드 최적화 연구실
- How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
2025, 시각 및 학습 연구실
- Hyperspherical Normalization for Scalable Deep Reinforcement Learning
2025, 주재걸 연구실
- Improved Off-policy Reinforcement Learning in Biological Sequence Design
2025, 김현아 연구실, System Intelligence Lab
- Improved Online Confidence Bounds for Multinomial Logistic Bandits
2025, 오민환 연구실
- Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
2025, 윤철희 연구실