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
- Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images
2025, Medical Information Processing Lab
- Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge
2025, 바이오지능 연구실
- VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
2025, 기계 지능 연구실
- VSCoDe: Visual-Augmentation Selection for Contrastive Decoding
2025, 윤세영 연구실
- A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
2024, 기계 지능 연구실
- Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction
2024, Computer Vision Lab, 시각 및 기하지능 연구실
- Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
2024, 신뢰가능한 인공지능 연구실, AGI-LAB, KAIST
- Finite-Time Analysis of Temporal Difference Learning with Experience Replay
2024, 강화학습연구실
- FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels
2024, 윤세영 연구실
- Holistic Molecular Representation Learning via Multi-view Fragmentation
2024, AGI-LAB, KAIST, 효율적 기계학습 연구실, 안성수 연구실
- Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation
2024, 시각 및 학습 연구실
- Mini-Batch Optimization of Contrastive Loss
2024, ITML
- Non-backtracking Graph Neural Networks
2024, 윤세영 연구실, 안성수 연구실
- Physics Informed Distillation for Diffusion Models
2024, 인공지능 및 머신러닝 연구실
- PriViT: Vision Transformers for Private Inference
2024, Computer Vision Lab
- Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
2024, Inference and Information for Data Science Lab
- Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model
2024, 인포메이션시스템즈
- Toward a Complete Criterion for Value of Information in Insoluble Decision Problems
2024, 이상학 연구실
- Towards Understanding Dual BN In Hybrid Adversarial Training
2024, 통계적 추론 및 정보 이론 연구실
- Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
2023, EffL (Efficient Learning), AGI-LAB, KAIST