342 citations · 1.2k across the 26 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022★ 36 cited
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design computer agents with intelligent capabilities such as understanding, reasoning, and l…
cs.LG2022
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering
Alex Wilf, Martin Q. Ma, Paul Pu Liang +2
Creating artificial social intelligence - algorithms that can understand the nuances of multi-person interactions - is an exciting and emerging challenge in processing facial expre…