Meta Learning

Image source | Reinforcement Learning, Fast and Slow

Sample efficiency is key to the applications of many real-world AI for science tasks, e.g., drug discovery.

Recently, I realize that the inner-loop in the meta-learning framework is the key bottleneck preventing it from being deployed. I’m exploring ways to create more forms of inner-loop APIs.

Our Works

Jie Fu
Jie Fu
Visiting Scholar

Focus on Deep Learning, Language Processing, Human-AI Alignment, Multi-Modal Learning.