Learning Generalizable Visual Representations via Self-Supervised Information Bottleneck-Reference-Cited by-同舟云学术

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Learning Generalizable Visual Representations via Self-Supervised Information Bottleneck

Published:2024-04-14 Issue: Volume:33 Page:5385-5389
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liu Xin¹,Li Ya-li¹,Wang Shengjin¹

Affiliation:

1. Tsinghua University,Beijing National Research Center for Information Science and Technology (BNRist),Department of Electronic Engineering

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446545.pdf?arnumber=10446545

Reference25 articles.

1. A simple framework for contrastive learning of visual representations;Chen

2. Exploring Simple Siamese Representation Learning

3. Unsupervised learning of visual features by contrasting cluster assignments;Caron;Advances in Neural Information Processing Systems,2020

4. Barlow twins: Self-supervised learning via redundancy reduction;Zbontar

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