EMCLR: Expectation Maximization Contrastive Learning Representations-Reference-Cited by-同舟云学术

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EMCLR: Expectation Maximization Contrastive Learning Representations

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liu Meng¹,Yi Ran¹,Ma Lizhuang¹

Affiliation:

1. Shanghai Jiao Tong University

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Tencent

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094790.pdf?arnumber=10094790

Reference25 articles.

1. Understanding self-supervised learning dynamics without contrastive pairs;tian;ICML,2021

2. Exploring Simple Siamese Representation Learning

3. Unsupervised learning of visual features by contrasting cluster assignments;caron;NeurIPS,2020

4. Representation learning with contrastive predictive coding;den oord,2018

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