9 citations · 23 across the 4 of their papers we have counts for
4 papers
An Information-Theoretic Approach to Transferability in Task Transfer Learning
Yajie Bao, Yang Li, Shao-Lun Huang +4
Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost of related tasks. An important question i…
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
Fei Ma, Xiangxiang Xu, Shao-Lun Huang +1
Multimodal learning has achieved great successes in many scenarios. Compared with unimodal learning, it can effectively combine the information from different modalities to improve…
An Efficient Approach to Informative Feature Extraction from Multimodal Data
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang +4
One primary focus in multimodal feature extraction is to find the representations of individual modalities that are maximally correlated. As a well-known measure of dependence, the…
Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities
Jiantao Jiao, Lin Zhang, Robert Nowak
In many signal detection and classification problems, we have knowledge of the distribution under each hypothesis, but not the prior probabilities. This paper is aimed at providing…