Dynamic Multimodal Information Bottleneck for Multimodality Classification-Reference-Cited by-同舟云学术

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Dynamic Multimodal Information Bottleneck for Multimodality Classification

Published:2024-01-03 Issue: Volume:18 Page:7681-7691
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Fang Yingying¹,Wu Shuang²,Zhang Sheng¹,Huang Chaoyan³,Zeng Tieyong³,Xing Xiaodan⁴,Walsh Simon¹,Yang Guang¹

Affiliation:

1. Imperial College London,National Heart and Lung Institute,London,UK,SW7 2AZ

2. Black Sesame Technologies,Fusionopolis,Singapore

3. The Chinese University of Hong Kong,Shatin,Hong Kong

4. Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL

Funder

Royal Society

Boehringer Ingelheim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484170.pdf?arnumber=10484170

Reference50 articles.

1. Multimodal biomedical AI

2. Breaking the curse of dimensionality with convex neural networks;Bach;The Journal of Machine Learning Research,2017

3. An overview of deep learning methods for multimodal medical data mining

4. Mine: mutual information neural estimation;Belghazi,2018

5. Variational information bottleneck for effective low-resource fine-tuning;Belinkov

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