Results 41 to 50 of about 6,914,944 (265)
PLoS Computational Biology, 2021 During development, biological neural networks produce more synapses and neurons than needed. Many of these synapses and neurons are later removed in a process known as neural pruning.
Carolin Scholl +2 more
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Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain
Frontiers in Systems Neuroscience, 2021 Most neural networks need to predefine the network architecture empirically, which may cause over-fitting or under-fitting. Besides, a large number of parameters in a fully connected network leads to the prohibitively expensive computational cost and ...
Feifei Zhao +6 more
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Structural Pruning Algorithm Based on Second-Order Information of Deep Neural Network [PDF]
Jisuanji gongcheng, 2021 Most of the existing structural pruning algorithms are based on the first-order or zero-order information of Deep Neural Network(DNN).To use the second-order information of the networks for speeding up the convergence of DNN models,this paper proposes a ...
JI Fanfan, YANG Xin, YUAN Xiaotong
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Quantization Robust Pruning With Knowledge Distillation
IEEE Access, 2023 To resolve the problem that deep neural networks (DNN) require a large number of network parameters, many researchers have sought to compress the network.
Jangho Kim
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Double Standard Pruning of Convolution Network Based on Feature Extraction of Intermediate Graph [PDF]
Jisuanji gongcheng, 2023 Convolutional Neural Network(CNN) require a considerable amount of overhead in terms of computation and storage.To deploy and run a CNN on embedded devices with a poor computing power and storage capacity, this study proposes a convolution kernel double ...
CHENG Xiaohui, LI Yu, KANG Yanping
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Filter Sketch for Network Pruning [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 We propose a novel network pruning approach by information preserving of pretrained network weights (filters). Network pruning with the information preserving is formulated as a matrix sketch problem, which is efficiently solved by the off-the-shelf ...
Mingbao Lin +6 more
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Applied Sciences, 2022 The superior performance of the recent deep learning models comes at the cost of a significant increase in computational complexity, memory use, and power consumption.
Deepak Ghimire, Seong-Heum Kim
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Dimension-Based Subscription Pruning for Publish/Subscribe Systems [PDF]
, 2006 Subscription pruning has been proven as valuable routing optimization for Boolean subscriptions in publish/ subscribe systems. It aims at optimizing subscriptions independently of each other and is thus applicable for all kinds of subscriptions ...
Bittner, Sven, Hinze, Annika
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Faster identification of optimal contraction sequences for tensor networks [PDF]
, 2014 The efficient evaluation of tensor expressions involving sums over multiple indices is of significant importance to many fields of research, including quantum many-body physics, loop quantum gravity, and quantum chemistry.
Haegeman, Jutho +2 more
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Automatic Channel Pruning Method Based on Zebra Optimization Algorithm [PDF]
Jisuanji gongchengThe high computational and storage requirements of Convolutional Neural Networks (CNNs) limit their application in resource-limited mobile edge devices. Model compression techniques can significantly reduce the computational effort and parameters of CNNs
LIU Yajun, WU Dakui, FAN Kefeng, ZHOU Wenju
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