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
- Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
2025, PDE&AI Lab
- Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
2025, 스마트 정보 시스템 연구실
- Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
2025, AGI-LAB, KAIST
- PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
2025, 김승룡 연구실
- Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
2025, 김세훈 연구실
- Policy-labeled Preference Learning: Is Preference Enough for RLHF?
2025, 인지머신러닝 연구실
- Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards
2025, Embedded AI Lab
- Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
2025, System Intelligence Lab
- PRIME: Deep Imbalanced Regression with Proxies
2025, AGI-LAB, KAIST
- Prompt-based Depth Pruning of Large Language Models
2025, EffL (Efficient Learning)
- Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
2025, 윤철희 연구실
- Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
2025, 정보 및 통신 연구실
- QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
2025, 김세훈 연구실
- QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
2025, 윤세영 연구실, Mobile Intelligence & Interaction Laboratory
- Ranked Entropy Minimization for Continual Test-Time Adaptation
2025, 신호학습연구실
- Retrieval Augmented Time Series Forecasting
2025, 데이터 사이언스 연구실
- ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
2025, AGI-LAB, KAIST, 언어 기계 학습
- Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
2025, 윤세영 연구실
- SAFE: Finding Sparse and Flat Minima to Improve Pruning
2025, Computational Optimization Lab
- Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
2025, Computational Optimization Lab