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
- Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
2024, 데이터 사이언스 연구실
- Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
2024, 강명주 연구실
- Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
2024, INA Research Group
- Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
2024, 무인시스템연구실
- SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
2024, Inference and Information for Data Science Lab
- Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
2024, 인간 중심 컴퓨터 시스템 연구실
- Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
2024, 신기정 연구실
- SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
2024, Communications-X Lab
- SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
2024, 대규모 회로 및 시스템 연구실
- Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
2024, 주재걸 연구실
- SqueezeLLM: Dense-and-Sparse Quantization
2024, 김세훈 연구실
- Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
2024, 음성음향신호처리 및 머신러닝 연구실
- STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
2024, 황성주 연구실
- Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
2024, 기계학습 및 비전 연구실
- StrWAEs to Invariant Representations
2024, 원중호 연구실
- Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
2024, 김현아 연구실, System Intelligence Lab, 안성수 연구실
- Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
2024, 윤세영 연구실
- Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
2024, 신기정 연구실, 안성수 연구실
- The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
2024, 스마트 정보 시스템 연구실
- Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
2024, 머신러닝 연구실