Meta-learning
Eligible: Undergraduate and Masters students
Mentor: Paul Pu Liang
Description: Meta-learning aims to design models that can learn new representations or transfer to new environments rapidly with few training examples. This project will explore meta-learning across modalities (transferring quickly from text to images to speech), distributed meta-learning, and unsupervised meta-learning (without labels).
Skills/Experience: Prior experience in deep learning is an advantage but not a requirement.
Contact: Interested students should send an email to Paul Pu Liang with their CV and description of their experience in machine learning.