2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2026
Isotonic Layer: A Unified Framework for Recommendation Calibration and Debiasing
Hailing Cheng, Yafang Yang, Hemeng Tao +1
Model calibration and debiasing are fundamental yet operationally expensive challenges in large-scale recommendation systems. Existing approaches treat them as separate problems re…
cs.LG2018★ 2 cited
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks
Zhuoyi Wang, Zelun Kong, Hemeng Tao +2
One of the key challenges of performing label prediction over a data stream concerns with the emergence of instances belonging to unobserved class labels over time. Previously, thi…