Zhisheng Zhong

An improved collaborative filtering recommendation algorithm not based on item rating

2015

As e-commerce grows fast nowadays, recommender systems have become an integral part of every electricity business. A number of the recommendation algorithms need score matrix (i.e., matrix that is used to record the data of …

Improving Calibration for Long-Tailed Recognition

2021 · arXiv (Cornell University)

Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and classifier learning to improve performance. But there is still the vital issue of miscalibration. To address …