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| Paper Abstract and Keywords | ||
| Presentation | 2017-06-29 13:55 Consideration on Functions for Quantization in Quantized Neural Networks Takumi Kadokura, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)  CCS2017-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Quantized Neural Networks / quantization / gradient / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 112, CCS2017-2, pp. 7-10, June 2017. | |
| Paper # | CCS2017-2 | |
| Date of Issue | 2017-06-22 (CCS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CCS2017-2 |
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| Conference Information | |
| Committee | CCS |
| Conference Date | 2017-06-29 - 2017-06-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ibaraki Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Interaction and Communication, etc. |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2017-06-CCS |
| Language | Japanese |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2017-06-29 13:55:00 |
| Presentation Time | 25 minutes |
| Registration for | CCS |
| Paper # | CCS2017-2 |
| Volume (vol) | vol.117 |
| Number (no) | no.112 |
| Page | pp.7-10 |
| #Pages | 4 |
| Date of Issue | 2017-06-22 (CCS) |
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