29 citations · 34 across the 3 of their papers we have counts for
3 papers
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…
cs.AI2010
Particle Filtering on the Audio Localization Manifold
Evan Ettinger, Yoav Freund
We present a novel particle filtering algorithm for tracking a moving sound source using a microphone array. If there are N microphones in the array, we track all del…