HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives
Author:
Affiliation:
1. School of Computer Science and Technology, Donghua University,Shanghai,China
2. China Mobile Group Shanghai Co., Ltd.,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191335.pdf?arnumber=10191335
Reference30 articles.
1. Learning general halfspaces with general Massart noise under the Gaussian distribution
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3. Adversarial self-supervised contrastive learning;kim;Advances in neural information processing systems,2020
4. Momentum contrast for unsupervised visual representation learning;he;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020
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