머신러닝, 학회
ICLR 논문을 낸 국내 연구실
탑티어International Conference on Learning Representations. 2023년 이후 논문 537편, 연구실 205곳
이 학회에 논문을 낸 연구실
고려대 진경환 교수모집 안내
탑티어 23전체 28구성원 –
생성 모델·디퓨전경량화·효율 AI고려대 인호 교수
탑티어 2전체 20구성원 13
AI 안전·정렬연합·분산 학습고려대 강성구 교수신생 랩모집 안내
탑티어 31전체 34구성원 17
추천·검색대규모 언어 모델
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




























