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
- Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
2025, 박찬영 연구실, Universal Transfer Learning (UTL) Lab
- Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
2025, 언어 및 범용인공지능, 데이터인텔리전스
- ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
2025, EffL (Efficient Learning), Computational Optimization Lab
- $t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
2024, 원중호 연구실
- Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
2024, 데이터 마이닝 연구실
- Adaptive Self-training Framework for Fine-grained Scene Graph Generation
2024, 박찬영 연구실, Universal Transfer Learning (UTL) Lab
- ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
2024, Mobile Multimedia Systems Group
- Analyzing and Improving Optimal-Transport-based Adversarial Networks
2024, 강명주 연구실
- An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
2024, 김범준 연구실, 언어 기계 학습
- A Simple and Scalable Representation for Graph Generation
2024, 안성수 연구실
- Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
2024, COCO Lab
- CAS: A Probability-Based Approach for Universal Condition Alignment Score
2024, 기계 지능 연구실
- Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
2024, 시각 및 학습 연구실
- Compressed Context Memory for Online Language Model Interaction
2024, 머신러닝 연구실, 데이터사이언스사회분석연구실
- Conditional Information Bottleneck Approach for Time Series Imputation
2024, Actionable Intelligence Lab
- Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
2024, 신뢰가능한 인공지능 연구실, 이기민 연구실, AGI-LAB, KAIST
- Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
2024, 기계지능 및 데이터사이언스 연구실
- Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
2024, 음성음향신호처리 및 머신러닝 연구실
- Coordinate-Aware Modulation for Neural Fields
2024, 지능 저전력 음성/영상 시스템 연구실, V-Lab
- CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
2024, 김범준 연구실