31 citations · 46 across the 5 of their papers we have counts for
5 papers
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Yuyang Du, Kexin Chen, Yue Zhan +7
Visual question answering (VQA) is crucial for promoting surgical education. In practice, the needs of trainees are constantly evolving, such as learning more surgical types, adapt…
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li, Hai Zhang, Xinyu Zhang +4
As a marriage between offline RL and meta-RL, the advent of offline meta-reinforcement learning (OMRL) has shown great promise in enabling RL agents to multi-task and quickly adapt…
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Kexin Chen, Jiamin Lu, Junyou Li +12
Recent AI research plots a promising future of automatic chemical reactions within the chemistry society. This study proposes Chemist-X, a comprehensive AI agent that automates the…
Difficulty-aware Meta-learning for Rare Disease Diagnosis
Xiaomeng Li, Lequan Yu, Yueming Jin +3
Rare diseases have extremely low-data regimes, unlike common diseases with large amount of available labeled data. Hence, to train a neural network to classify rare diseases with a…
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xiaomeng Li, Lequan Yu, Hao Chen +3
Deep convolutional neural networks have achieved remarkable progress on a variety of medical image computing tasks. A common problem when applying supervised deep learning methods…