Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework-Reference-Cited by-同舟云学术

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Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Author:

Chen Yiming,Zhang Yan,Wang Bin,Liu Zuozhu,Li Haizhou

Publisher

Association for Computational Linguistics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SEBGM: Sentence Embedding Based on Generation Model with multi-task learning;Computer Speech & Language;2024-08

2. Enhance Large Language Models for Multilingual Sentence Embedding with Knowledge Graph;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. $\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

4. Self-Transriber: Few-Shot Lyrics Transcription With Self-Training;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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