NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks

CVPR 2020 Eugene LeeChen-Yi Lee

Deciding the amount of neurons during the design of a deep neural network to maximize performance is not intuitive. In this work, we attempt to search for the neuron (filter) configuration of a fixed network architecture that maximizes accuracy... (read more)

PDF Abstract CVPR 2020 PDF CVPR 2020 Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper