1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 1 cited
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Fan Liu, Zhiyong Cheng, Huilin Chen +3
Recommendation systems make predictions chiefly based on users' historical interaction data (e.g., items previously clicked or purchased). There is a risk of privacy leakage when c…
cs.CV2022
Learning to Minimize the Remainder in Supervised Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
The learning process of deep learning methods usually updates the model's parameters in multiple iterations. Each iteration can be viewed as the first-order approximation of Taylor…
cs.CV2015
Group -Means
Jianfeng Wang, Shuicheng Yan, Yi Yang +3
We study how to learn multiple dictionaries from a dataset, and approximate any data point by the sum of the codewords each chosen from the corresponding dictionary. Although theor…