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2010.15979
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A Greedy Algorithm for Quantizing Neural Networks
29 October 2020
Eric Lybrand
Rayan Saab
MQ
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Papers citing
"A Greedy Algorithm for Quantizing Neural Networks"
17 / 17 papers shown
Title
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Fixed-point Factorized Networks
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Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
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Matthieu Courbariaux
Daniel Soudry
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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Vicente Ordonez
Joseph Redmon
Ali Farhadi
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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
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Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
124
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BinaryConnect: Training Deep Neural Networks with binary weights during propagations
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Yoshua Bengio
J. David
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212
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Christian Szegedy
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Deep Learning with Limited Numerical Precision
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A. Agrawal
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Adam: A Method for Stochastic Optimization
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Compressing Deep Convolutional Networks using Vector Quantization
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174
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Jia Deng
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A. Khosla
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Li Fei-Fei
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Deep Learning in Neural Networks: An Overview
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246
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