200 citations · 550 across the 28 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.LG2017★ 119 cited
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
This paper introduces a novel method to perform transfer learning across domains and tasks, formulating it as a problem of learning to cluster. The key insight is that, in addition…
cs.LG2017★ 26 cited
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks
Zheng Xu, Yen-Chang Hsu, Jiawei Huang
There is an increasing interest on accelerating neural networks for real-time applications. We study the student-teacher strategy, in which a small and fast student network is trai…