22 citations · 51 across the 9 of their papers we have counts for
3 papers · 1 filter
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Jaemin Na, Heechul Jung, Hyung Jin Chang +1
Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, most of the studies were based on direct adap…
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Wonchul Son, Jaemin Na, Junyong Choi +1
With the success of deep neural networks, knowledge distillation which guides the learning of a small student network from a large teacher network is being actively studied for mod…
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
Wonchul Son, Youngbin Kim, Wonseok Song +2
There is a need for an on-the-fly computational process with very low performance system such as system-on-chip (SoC) and embedded device etc. This paper presents pacemaker knowled…