머신러닝, 저널
TMLR 논문을 낸 국내 연구실
T2Transactions on Machine Learning Research. 2023년 이후 논문 66편, 연구실 53곳
이 학회에 논문을 낸 연구실
고려대 김영은 교수신생 랩모집 안내
탑티어 13전체 26구성원 1
대규모 언어 모델경량화·효율 AI
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Computer Vision Lab손진희 교수모집 안내 | POSTECH | 49 | 57 | 47 | |
 Computer Vision Lab곽수하 교수모집 안내 | POSTECH | 45 | 53 | 47 | |
 Efficient Machine Intelligence Lab @ Korea University김영은 교수신생 랩모집 안내 | 고려대 | 13 | 26 | 1 | |
 EffL (Efficient Learning)이재호 교수 | POSTECH | 19 | 26 | 14 | |
 IDEA Lab김용대 교수 | 서울대 | 17 | 22 | 16 | |
 Interactive Machine Intelligence Lab. 인터렉티브 머신 인텔리전스김주연 교수신생 랩 | UNIST | – | 1 | 6 | |
 Interactive Machine Learning Lab전광성 교수 | POSTECH | 12 | 19 | 8 | |
 KAIST Visual Intelligence Lab윤국진 교수모집 안내 | KAIST | 79 | 92 | 33 | |
 Medical Information Processing Lab김원화 교수 | POSTECH | 54 | 68 | 43 | |
 Multisensory Intelligence LabArda Senocak 교수신생 랩 | UNIST | 17 | 21 | – | |
 Programming Languages Lab이원열 교수모집 안내 | POSTECH | 3 | 10 | – | |
 Stochastic Dynamics and Machine Learning LabAnh Tong 교수신생 랩 | 고려대 | 3 | 6 | 3 | |
 Visual Information Processing Lab이준석 교수모집 안내 | 서울대 | 26 | 40 | 58 |
최근 논문
- Achieving Adaptivity and Optimality for Multi-armed Bandits using Exponential-Kullback Leibler Maillard Sampling
2026, Interactive Machine Learning Lab
- A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications
2026, Multisensory Intelligence Lab
- Boosting Text Encoder for Personalized Text-to-Image Generation
2026, 심현정 연구실
- CUDA: Capturing Uncertainty and Diversity in Preference Feedback Augmentation
2026, 윤세영 연구실
- DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
2026, KAIST Visual AI Group
- DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
2026, AGI-LAB, KAIST
- Efficient LLM Collaboration via Planning
2026, AGI-LAB, KAIST
- Hypothesize and Verify: Natural-Language Explanations of Vision Model Errors
2026, 기계 지능 연구실, 인터랙션 연구실
- Inference-Time Scaling for Joint Audio-Video Generation
2026, 멀티모달 인공지능 연구실
- Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching
2026, Visual Information Processing Lab
- LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams
2026, System Intelligence Lab
- Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
2026, 홍영준 연구실
- Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari
2026, Interactive Machine Intelligence Lab. 인터렉티브 머신 인텔리전스
- PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
2026, 문재균 연구실
- Rethinking Reward Models for Multi-Domain Test-Time Scaling
2026, 황성주 연구실
- Revisiting Learning-based Video Motion Magnification for Real-time Processing
2026, 기계 지능 연구실
- Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation
2026, Inference and Information for Data Science Lab
- Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
2026, ITML
- Trip-to-Gaussian: A Versatile Framework for Unconditional 3D Generation
2026, 3D Vision & Robotics Lab. 3차원 비전 및 로보틱스 연구실
- Active Prompt Learning with Vision-Language Model Priors
2025, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab