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
- C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
2024, 인공지능 및 머신러닝 연구실
- DAFA: Distance-Aware Fair Adversarial Training
2024, 인공지능 연구실
- DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
2024, 기계학습 및 비전 연구실
- Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
2024, 스마트 정보 시스템 연구실
- Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
2024, PRISM Lab, 예종철 연구실
- Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
2024, Medical Information Processing Lab, Medical Information Processing Lab
- Delta-AI: Local objectives for amortized inference in sparse graphical models
2024, 이해범 연구실
- Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
2024, 오민환 연구실
- Denoising Task Routing for Diffusion Models
2024, 시각 정보처리 연구실
- Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
2024, 강명주 연구실, Visual Information Processing Lab
- Diffusion Model for Dense Matching
2024, 김승룡 연구실
- DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
2024, 황성주 연구실
- Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
2024, 문일철 연구실
- Don't Play Favorites: Minority Guidance for Diffusion Models
2024, 예종철 연구실
- DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
2024, AGI-LAB, KAIST
- ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
2024, 예종철 연구실
- Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
2024, 문일철 연구실, Autonomous Systems and Decision-making Lab. 자율 시스템 및 의사결정 연구실
- Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
2024, AGI-LAB, KAIST
- EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
2024, GLOW Lab
- EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
2024, GLOW Lab