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
- PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
2026, KAIST Visual AI Group
- PALC: Preference Alignment via Logit Calibration
2026, 지능형 블록체인 공학 연구실 (Intelligent Blockchain Engineering Laboratory), LICS · Lab for Informatics, Communications, and Systems
- Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
2026, 황성주 연구실
- ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
2026, 정보신호처리연구실
- Parameterization-Based Dataset Distillation of 3D Point Clouds through Learnable Shape Morphing
2026, Visual Information Processing Lab. 시각정보처리 연구실
- Pareto Variational Autoencoder
2026, 원중호 연구실
- Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
2026, 최종은 연구실, 의사결정 지능 및 학습
- PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models
2026, 예종철 연구실
- Peng's Q(π) for Conservative Value Estimation in Offline Reinforcement Learning
2026, 오민환 연구실
- PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information
2026, 데이터마이닝 및 인포메이션시스템 연구실
- PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection
2026, 윤현수 연구실
- Physics-Informed Audio-Geometry-Grid Representation Learning for Universal Sound Source Localization
2026, 음성음향신호처리 및 머신러닝 연구실
- PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
2026, Learning and Adaptation Algorithms Lab
- Point-wise Anomaly Detection via Fold-bifurcation ODE
2026, 빅데이터 분석 및 학습 연구실
- Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement Learning
2026, 디스플레이소자 연구실
- Predicting LLM Reasoning Performance with Small Proxy Model
2026, 윤세영 연구실
- Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
2026, Learning and Adaptation Algorithms Lab
- Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses
2026, 이다빈 연구실
- Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling
2026, 서현석 연구실
- Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity
2026, 언어 및 범용인공지능, 언어 기계 학습