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
- When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
2025, 기계학습 및 비전 연구실
- When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
2025, Visual & General Intelligence Lab (시각 및 범용 지능 연구실)
- Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
2025, Machine Learning & Intelligent Control Lab. 기계학습 및 지능형제어 연구실
- World Model Implanting for Test-time Adaptation of Embodied Agents
2025, CSI Agent
- 3D Geometric Shape Assembly via Efficient Point Cloud Matching
2024, Computer Vision Lab, 시각 및 기하지능 연구실
- Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
2024, 문재균 연구실, Edge AI
- Active Label Correction for Semantic Segmentation with Foundation Models
2024, Computer Vision Lab, Computer Vision Lab, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
2024, 주재걸 연구실
- An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
2024, 프로그래밍 언어 및 기계학습 원리 연구실
- An LLM Compiler for Parallel Function Calling
2024, 김세훈 연구실
- Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
2024, 아키텍처 및 코드 최적화 연구실
- A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
2024, 이주호 연구실
- Attribute Based Interpretable Evaluation Metrics for Generative Models
2024, Visual intelligence
- BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
2024, 황성주 연구실
- Behavior Generation with Latent Actions
2024, Lab for Autonomous Robotics Research
- Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
2024, Machine Learning Lab, 안성수 연구실
- BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
2024, Inference and Information for Data Science Lab
- Cell2Sentence: Teaching Large Language Models the Language of Biology
2024, 한인수 연구실
- Cross-view Masked Diffusion Transformers for Person Image Synthesis
2024, 인공지능 및 머신러닝 연구실
- Data-Efficient Molecular Generation with Hierarchical Textual Inversion
2024, AGI-LAB, KAIST