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Virtual Augmentation Supported Contrastive Learning of Sentence
  Representations

Virtual Augmentation Supported Contrastive Learning of Sentence Representations

16 October 2021
Dejiao Zhang
Wei Xiao
Henghui Zhu
Xiaofei Ma
Andrew O. Arnold
    SSL
ArXivPDFHTML

Papers citing "Virtual Augmentation Supported Contrastive Learning of Sentence Representations"

7 / 7 papers shown
Title
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
24
18
0
30 Mar 2024
A Comprehensive Survey of Sentence Representations: From the BERT Epoch
  to the ChatGPT Era and Beyond
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
Abhinav Ramesh Kashyap
Thang-Tung Nguyen
Viktor Schlegel
Stefan Winkler
See-Kiong Ng
Soujanya Poria
AI4TS
3DV
SSL
21
6
0
22 May 2023
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
44
0
12 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
114
201
0
16 Feb 2021
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
167
444
0
10 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,279
0
06 Mar 2017
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