29 citations · 34 across the 3 of their papers we have counts for
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cs.LG2020★ 29 cited
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng +8
Large scale recommender models find most relevant items from huge catalogs, and they play a critical role in modern search and recommendation systems. To model the input space with…
cs.LG2014★ 5 cited
Non-Convex Boosting Overcomes Random Label Noise
Sunsern Cheamanunkul, Evan Ettinger, Yoav Freund
The sensitivity of Adaboost to random label noise is a well-studied problem. LogitBoost, BrownBoost and RobustBoost are boosting algorithms claimed to be less sensitive to noise th…