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
- Graph Generation with Diffusion Mixture
2024, 황성주 연구실
- Graph Geometry-Preserving Autoencoders
2024, 박종우 연구실, 로보틱스 및 피지컬 AI
- Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
2024, 스마트 정보 시스템 연구실
- Hybrid Neural Representations for Spherical Data
2024, EffL (Efficient Learning), 안성수 연구실
- Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy
2024, 인포메이션시스템즈
- Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
2024, Computer Vision Lab, 안성수 연구실, Computer Vision Lab, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
2024, 주재걸 연구실
- Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
2024, Visual Information Processing Lab
- LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
2024, 문일철 연구실, Autonomous Systems and Decision-making Lab. 자율 시스템 및 의사결정 연구실
- LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
2024, 머신러닝 연구실
- Learning to Continually Learn with the Bayesian Principle
2024, 시각 및 학습 연구실
- Learning to Explore for Stochastic Gradient MCMC
2024, 이주호 연구실
- Learning to Scale Logits for Temperature-Conditional GFlowNets
2024, System Intelligence Lab
- LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
2024, 데이터 지능 연구실
- Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
2024, 기계지능 및 데이터사이언스 연구실
- Mean-field Chaos Diffusion Models
2024, Programming Languages Lab, 생성형 지능시스템 연구실 (Generative Intelligence Lab)
- Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
2024, HLILab
- Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
2024, Machine Learning Lab
- Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
2024, EffL (Efficient Learning)
- Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
2024, Medical Information Processing Lab, Medical Information Processing Lab