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
- Adversarial Bandits Against Arbitrary Strategies
2025, 윤세영 연구실
- Buffer-based Gradient Projection for Continual Federated Learning
2025, ITML
- CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection
2025, AGI-LAB, KAIST
- Decoupled Sequence and Structure Generation for Realistic Antibody Design
2025, System Intelligence Lab, 안성수 연구실
- Enhancing Cost Efficiency in Active Learning with Candidate Set Query
2025, Computer Vision Lab, Computer Vision Lab, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
2025, KAIST Visual Intelligence Lab
- Fairness Through Matching
2025, IDEA Lab
- FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
2025, 윤세영 연구실
- GenOL: Generating Diverse Examples for Name-only Online Learning
2025, 계산영상, 기계 인지 및 추론 연구실
- Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
2025, Inference and Information for Data Science Lab
- Large-Scale Targeted Cause Discovery via Learning from Simulated Data
2025, 머신러닝 연구실, 데이터사이언스사회분석연구실
- LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks
2025, 데이터 사이언스 연구실
- MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
2025, 심현정 연구실
- MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
2025, 기계 지능 연구실, KAIST Visual AI Group
- Memory-Modular Classification: Learning to Generalize with Memory Replacement
2025, Computer Vision Lab
- Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
2025, 프로그래밍 언어 및 기계학습 원리 연구실, 이주호 연구실
- RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image
2025, AGI-LAB, KAIST
- RouteFinder: Towards Foundation Models for Vehicle Routing Problems
2025, System Intelligence Lab
- Sparsified State-Space Models are Efficient Highway Networks
2025, AGI-LAB, KAIST
- SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization
2025, 캐스트 연구실