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

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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

30 October 2022

Yiming Chen

Bin Wang

Zuozhu Liu

Haizhou Li

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

16 / 16 papers shown

Title
On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey Meishan Zhang Xin Zhang X. Zhao Shouzheng Huang Baotian Hu Min Zhang 189 3 0 28 Jul 2025
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation Zihao Chen H. Handa Miho Ohsaki Kimiaki Shirahama 214 1 0 12 Mar 2025
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Peichao Lai Zhengfeng Zhang Wentao Zhang Fangcheng Fu Huang Leng 400 4 0 19 Sep 2024
Depth $F_1$ : Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability Parker Seegmiller Joseph Gatto S. Preum VLM 176 0 0 20 Jun 2024
How Well Do Text Embedding Models Understand Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yan Zhang Zhaopeng Feng Zhiyang Teng Zuozhu Liu Haizhou Li 205 4 0 14 Nov 2023
Statistical Depth for Ranking and Characterizing Transformer-Based Text EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Parker Seegmiller S. Preum 279 4 0 23 Oct 2023
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Huiming Wang Zhaodonghui Li Liying Cheng De Wen Soh Lidong Bing 219 5 0 17 Oct 2023
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language ModelsIEEE Real-Time Systems Symposium (RTSS), 2023 Yufei Li Zexin Li Wei Yang Cong Liu 202 18 0 12 Sep 2023
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual SimilarityIEEE Games Entertainment Media Conference (IEEE GEM), 2023 Joseph Gatto Omar Sharif Parker Seegmiller Philip Bohlman S. Preum 125 12 0 12 Sep 2023
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental DynamicsIEEE Real-Time Systems Symposium (RTSS), 2023 Zexin Li Tao Ren Xiaoxi He Cong Liu 143 11 0 29 Aug 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous RoboticsIEEE Real-Time Systems Symposium (RTSS), 2023 Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 276 11 0 29 Aug 2023
Contrastive Learning of Sentence Embeddings from ScratchConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Junlei Zhang Zhenzhong Lan Junxian He SSL 307 35 0 24 May 2023
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and BeyondConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Abhinav Ramesh Kashyap Thang-Tung Nguyen Viktor Schlegel Stefan Winkler See-Kiong Ng Soujanya Poria AI4TS 3DV SSL 146 15 0 22 May 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Zexin Li Bangjie Yin Taiping Yao Junfeng Guo Shouhong Ding Simin Chen Cong Liu AAML 199 49 0 22 Mar 2023
Relational Sentence Embedding for Flexible Semantic MatchingWorkshop on Representation Learning for NLP (RepL4NLP), 2022 Bin Wang Haizhou Li 124 4 0 17 Dec 2022
Self-Transriber: Few-shot Lyrics Transcription with Self-trainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Xiaoxue Gao Xianghu Yue Haizhou Li 187 8 0 18 Nov 2022