DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification-Reference-Cited by-同舟云学术

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification

Published:2024-05-13 Issue: Volume:31 Page:4362-4371
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Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Junfan Chen¹^ORCID,Zhang Richong²^ORCID,Zheng Yaowei²^ORCID,Chen Qianben²^ORCID,Hu Chunming¹^ORCID,Mao Yongyi³^ORCID

Affiliation:

1. SKLSDE, School of Software, Beihang University, Beijing, China

2. SKLSDE, School of Computer Science, Beihang University, Beijing, China

3. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645668

Reference35 articles.

1. Junfan Chen Richong Zhang Yongyi Mao and Jie Xu. 2022. ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. In AAAI. 10492--10500.

2. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML. 1597--1607.

3. Jianfeng Chi William Shand Yaodong Yu Kai-Wei Chang Han Zhao and Yuan Tian. 2022. Conditional Supervised Contrastive Learning for Fair Text Classification. In Findings of the Association for Computational Linguistics: EMNLP. 2736--2756.

4. Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. In Workshop of NeurIPS.

5. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186.