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Instance Smoothed Contrastive Learning for Unsupervised Sentence
  Embedding
v1v2 (latest)

Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding

12 May 2023
Hongliang He
Junlei Zhang
Zhenzhong Lan
Yue Zhang
ArXiv (abs)PDFHTML

Papers citing "Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding"

10 / 10 papers shown
Title
Improving Contrastive Learning of Sentence Embeddings with
  Case-Augmented Positives and Retrieved Negatives
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
Wei Wang
Liangzhu Ge
Jingqiao Zhang
Cheng Yang
58
22
0
06 Jun 2022
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
SSLAILaw
71
131
0
09 Sep 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence
  Representation Transfer
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
119
557
0
25 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
261
3,396
0
18 Apr 2021
Whitening Sentence Representations for Better Semantics and Faster
  Retrieval
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Jianlin Su
Jiarun Cao
Weijie Liu
Yangyiwen Ou
51
303
0
29 Mar 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
481
3,433
0
09 Mar 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
201
12,085
0
13 Nov 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
659
24,464
0
26 Jul 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
195
1,950
0
06 Jun 2019
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
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