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SDA: Simple Discrete Augmentation for Contrastive Sentence
  Representation Learning

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

8 October 2022
Dongsheng Zhu
Zhenyu Mao
Jinghui Lu
Rui Zhao
Fei Tan
ArXivPDFHTML

Papers citing "SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning"

7 / 7 papers shown
Title
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
M. Abouheaf
W. Gueaieb
Md. Suruz Miah
D. Spinello
Xipeng Qiu
59
37
0
03 May 2023
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
Jinghui Lu
Rui Zhao
Brian Mac Namee
Fei Tan
24
18
0
27 Nov 2022
What Makes Pre-trained Language Models Better Zero-shot Learners?
What Makes Pre-trained Language Models Better Zero-shot Learners?
Jinghui Lu
Dongsheng Zhu
Weidong Han
Rui Zhao
Brian Mac Namee
Fei Tan
39
21
0
30 Sep 2022
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Fei Tan
Yifan Hu
Kevin Yen
Changwei Hu
32
7
0
18 Sep 2021
Pairwise Supervised Contrastive Learning of Sentence Representations
Pairwise Supervised Contrastive Learning of Sentence Representations
Dejiao Zhang
Shang-Wen Li
Wei Xiao
Henghui Zhu
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
55
50
0
12 Sep 2021
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of
  Unsupervised Sentence Embedding
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Xing Wu
Chaochen Gao
Liangjun Zang
Jizhong Han
Zhongyuan Wang
Songlin Hu
SSL
AILaw
36
129
0
09 Sep 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
125
202
0
16 Feb 2021
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