머신러닝, 학회
ICLR 논문을 낸 국내 연구실
탑티어International Conference on Learning Representations. 2023년 이후 논문 537편, 연구실 205곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Stochastic Dynamics and Machine Learning LabAnh Tong 교수신생 랩 | 고려대 | 3 | 6 | 3 | |
 Ubiquitous AI Lab. 유비쿼터스 인공지능 연구실공태식 교수신생 랩모집 안내 | UNIST | 13 | 21 | 5 | |
 Users and Information Lab오혜연 교수 | KAIST | 33 | 45 | – | |
 Visual Computing and AI (VCAI) Lab문경식 교수신생 랩 | 고려대 | 16 | 18 | 11 | |
 Visual & General Intelligence Lab (시각 및 범용 지능 연구실)박경문 교수모집 안내 | 고려대 | 29 | 39 | – |
최근 논문
- Text-Aware Image Restoration with Diffusion Models
2026, Computer Vision Lab (CVLAB), 김승룡 연구실
- The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
2026, 서민준 연구실
- The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
2026, Computational Optimization Lab
- TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
2026, Actionable Intelligence Lab
- TIPO: Text to Image with Text Pre-sampling for Prompt Optimization
2026, 언어 인지 및 피지컬 지능 연구실
- TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
2026, 언어 기계 학습
- Token-Efficient Item Representation via Images for LLM Recommender Systems
2026, 박찬영 연구실
- To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
2026, KAIST AXE Lab
- Toward Complex-Valued Neural Networks for Waveform Generation
2026, 패턴인식 및 머신러닝 연구실
- Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
2026, Learning and Adaptation Algorithms Lab
- TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
2026, 김경수 연구실, 시각 및 기하지능 연구실, 기계 인지 및 추론 연구실
- Training-Free Reward-Guided Image Editing via Trajectory Optimal Control
2026, 예종철 연구실
- TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
2026, Visual Information Processing Lab
- TSLM: Tree-Structured Language Modeling for Divergent Thinking
2026, 서민준 연구실
- Uncertainty-driven Embedding Convolution
2026, MLAI
- Uncertainty Estimation via Hyperspherical Confidence Mapping
2026, 제어 및 지능형 시스템 연구실
- Verifier-free Test-Time Sampling for Vision-Language-Action Models
2026, AGI-LAB, KAIST
- Video Scene Segmentation with Genre and Duration Signals
2026, 시각인공지능
- Vision Language Models are Biased
2026, AI² 연구실
- wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
2026, Active Generative Agents Lab