2 papers
cs.CV2022
Towards a Unified View of Affinity-Based Knowledge Distillation
Vladimir Li, Atsuto Maki
Knowledge transfer between artificial neural networks has become an important topic in deep learning. Among the open questions are what kind of knowledge needs to be preserved for…
cs.CV2018
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong, Vladimir Li, Ryuzo Okada +1
This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e.g., image classification, for efficiency as well as…