Unsupervised hard Negative Augmentation for contrastive learning

5 January 2024

Papers citing "Unsupervised hard Negative Augmentation for contrastive learning"

9 / 9 papers shown

Title
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations Zilu Tang Muhammed Yusuf Kocyigit Derry Wijaya 73 9 0 20 Oct 2022
SCD: Self-Contrastive Decorrelation for Sentence Embeddings T. Klein Moin Nabi SSL 33 25 0 15 Mar 2022
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Yuanmeng Yan Rumei Li Sirui Wang Fuzheng Zhang Wei Wu Weiran Xu SSL 72 550 0 25 May 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 59 72 0 09 Feb 2021
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 251 6,718 0 13 Jun 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 177 2,029 0 18 Dec 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 562 4,735 0 13 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 96 2,306 0 29 Apr 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 71 1,931 0 31 Jan 2019