24 citations · 24 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 24 cited
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang, Kang Zhang, Chenshuang Zhang +3
To avoid collapse in self-supervised learning (SSL), a contrastive loss is widely used but often requires a large number of negative samples. Without negative samples yet achieving…
cs.IR2018
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search
Wenjin Wu, Guojun Liu, Hui Ye +5
E-commerce sponsored search contributes an important part of revenue for the e-commerce company. In consideration of effectiveness and efficiency, a large-scale sponsored search sy…