5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.DS2021★ 5 cited
Optimal Sketching for Trace Estimation
Shuli Jiang, Hai Pham, David P. Woodruff +2
Matrix trace estimation is ubiquitous in machine learning applications and has traditionally relied on Hutchinson's method, which requires matrix-vector product…
cs.LG2020
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
Xiang Deng, Zhongfei, Zhang
It is well observed that in deep learning and computer vision literature, visual data are always represented in a manually designed coding scheme (eg., RGB images are represented a…
cs.LG2017★ 2 cited
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Te Pi, Xi Li, Zhongfei +1
We study zero-shot learning (ZSL) as a transfer learning problem, and focus on the two key aspects of ZSL, model effectiveness and model adaptation. For effective modeling, we adop…