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cs.LG2021
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks
Feiqing Huang, Yuefeng Si, Yao Zheng +1
While recently many designs have been proposed to improve the model efficiency of convolutional neural networks (CNNs) on a fixed resource budget, theoretical understanding of thes…
cs.LG2019
Compact Autoregressive Network
Di Wang, Feiqing Huang, Jingyu Zhao +2
Autoregressive networks can achieve promising performance in many sequence modeling tasks with short-range dependence. However, when handling high-dimensional inputs and outputs, t…