864 citations · 1.9k across the 57 of their papers we have counts for
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cs.LG2017★ 864 cited
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng, Duo Wang, Pan Zhou +1
Deep neural networks (DNNs) have recently achieved great success in many visual recognition tasks. However, existing deep neural network models are computationally expensive and me…
stat.ML2017★ 15 cited
The Landscape of Deep Learning Algorithms
Pan Zhou, Jiashi Feng
This paper studies the landscape of empirical risk of deep neural networks by theoretically analyzing its convergence behavior to the population risk as well as its stationary poin…
cs.CV2017★ 2 cited
Randomness in Deconvolutional Networks for Visual Representation
Kun He, Jingbo Wang, Haochuan Li +5
Toward a deeper understanding on the inner work of deep neural networks, we investigate CNN (convolutional neural network) using DCN (deconvolutional network) and randomization tec…