3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Negative to Positive Co-learning with Aggressive Modality Dropout
Nicholas Magal, Minh Tran, Riku Arakawa +1
This paper aims to document an effective way to improve multimodal co-learning by using aggressive modality dropout. We find that by using aggressive modality dropout we are able t…
cs.LG2023★ 3 cited
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang, Yun Cheng, Xiang Fan +9
The recent explosion of interest in multimodal applications has resulted in a wide selection of datasets and methods for representing and integrating information from different mod…