Presentation 2017-06-29
Consideration on Functions for Quantization in Quantized Neural Networks
Takumi Kadokura, Hidehiro Nakano, Arata Miyauchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Quantized Neural Network (QNN) is a kind of neural networks in which its weights and activations are quantized. Since, QNN can reduce computational quantity and energy consumption by the quantization, it is expected to be used on embedded devices. This paper investigates quantization functions used for quantizing gradients in QNN. By performing the numerical experiments, the performance of some quantization functions are compared. We then show that there exists a quantization function which can keep high performance with low quantization bit rate.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Quantized Neural Networks / quantization / gradient
Paper # CCS2017-2
Date of Issue 2017-06-22 (CCS)

Conference Information
Committee CCS
Conference Date 2017/6/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Ibaraki Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Interaction and Communication, etc.
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Consideration on Functions for Quantization in Quantized Neural Networks
Sub Title (in English)
Keyword(1) Quantized Neural Networks
Keyword(2) quantization
Keyword(3) gradient
1st Author's Name Takumi Kadokura
1st Author's Affiliation Tokyo City University(Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano
2nd Author's Affiliation Tokyo City University(Tokyo City Univ.)
3rd Author's Name Arata Miyauchi
3rd Author's Affiliation Tokyo City University(Tokyo City Univ.)
Date 2017-06-29
Paper # CCS2017-2
Volume (vol) vol.117
Number (no) CCS-112
Page pp.pp.7-10(CCS),
#Pages 4
Date of Issue 2017-06-22 (CCS)