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
- LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
2023, 스마트 정보 시스템 연구실
- Leveraging Proxy of Training Data for Test-Time Adaptation
2023, Computer Vision Lab, Computer Vision Lab, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Local Vertex Colouring Graph Neural Networks
2023, Machine Learning Lab
- Looped Transformers as Programmable Computers
2023, ITML
- LSDS++ : Dual Sampling for Accelerated k-means++
2023, Algorithmic Foundations of Data Science Lab
- MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
2023, 강명주 연구실
- Margin-based Neural Network Watermarking
2023, 웹 보안 및 개인정보 보호 연구실, 황성주 연구실
- Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
2023, IDEA Lab
- Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
2023, 김현아 연구실, System Intelligence Lab
- Minimizing Trajectory Curvature of ODE-based Generative Models
2023, 예종철 연구실
- Modality-Agnostic Variational Compression of Implicit Neural Representations
2023, EffL (Efficient Learning), AGI-LAB, KAIST
- Model-based Offline Reinforcement Learning with Count-based Conservatism
2023, 오민환 연구실
- Multi-View Masked World Models for Visual Robotic Manipulation
2023, 이기민 연구실, AGI-LAB, KAIST
- Neural Stochastic Differential Games for Time-series Analysis
2023, Programming Languages Lab, Actionable Intelligence Lab, 생성형 지능시스템 연구실 (Generative Intelligence Lab)
- One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
2023, CSI Agent
- On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
2023, Programming Languages Lab, Efficient Inference and Learning Lab
- On the Impact of Knowledge Distillation for Model Interpretability
2023, 인공지능 연구실
- On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
2023, 주재걸 연구실
- On the Training Instability of Shuffling SGD with Batch Normalization
2023, 윤철희 연구실
- Personalized Subgraph Federated Learning
2023, 황성주 연구실