3.9k citations · 17.4k across the 35 of their papers we have counts for
Showing 2017 · cs.CVShow all
2 papers · 2 filters
cs.CV2017★ 164 cited
Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph, Maxim Neumann +7
We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learni…
cs.CV2017
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens +1
Developing neural network image classification models often requires significant architecture engineering. In this paper, we study a method to learn the model architectures directl…