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Understanding Hard Negatives in Noise Contrastive Estimation

Understanding Hard Negatives in Noise Contrastive Estimation

13 April 2021
Wenzheng Zhang
K. Stratos
ArXivPDFHTML

Papers citing "Understanding Hard Negatives in Noise Contrastive Estimation"

6 / 6 papers shown
Title
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple
  Candidates for Efficient and Effective Retrieval
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
Jonghyun Song
Cheyon Jin
Wenlong Zhao
Jay Yoon Lee
38
0
0
21 May 2024
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
38
3
0
20 Feb 2023
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
Maciej Wiatrak
Eirini Arvaniti
Angus Brayne
Jonas Vetterle
Aaron Sim
25
2
0
30 Jan 2023
Generating Negative Samples for Sequential Recommendation
Generating Negative Samples for Sequential Recommendation
Yong-Guang Chen
Jia Li
Zhiwei Liu
N. Keskar
Haiquan Wang
Julian McAuley
Caiming Xiong
20
4
0
07 Aug 2022
Detecting Label Errors by using Pre-Trained Language Models
Detecting Label Errors by using Pre-Trained Language Models
Derek Chong
Jenny Hong
Christopher D. Manning
NoLa
38
21
0
25 May 2022
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal
  Sentiment Analysis
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
Sijie Mai
Ying Zeng
Shuangjia Zheng
Haifeng Hu
15
116
0
04 Sep 2021
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