JP2021500654A5 - - Google Patents
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- JP2021500654A5 JP2021500654A5 JP2020521465A JP2020521465A JP2021500654A5 JP 2021500654 A5 JP2021500654 A5 JP 2021500654A5 JP 2020521465 A JP2020521465 A JP 2020521465A JP 2020521465 A JP2020521465 A JP 2020521465A JP 2021500654 A5 JP2021500654 A5 JP 2021500654A5
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/792,733 | 2017-10-24 | ||
| US15/792,733 US11195096B2 (en) | 2017-10-24 | 2017-10-24 | Facilitating neural network efficiency |
| PCT/IB2018/057712 WO2019082005A1 (en) | 2017-10-24 | 2018-10-04 | FACILITATING THE EFFECTIVENESS OF ARTIFICIAL NEURONIC NETWORK |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2021500654A JP2021500654A (ja) | 2021-01-07 |
| JP2021500654A5 true JP2021500654A5 (enExample) | 2022-06-07 |
| JP7163381B2 JP7163381B2 (ja) | 2022-10-31 |
Family
ID=66169344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020521465A Active JP7163381B2 (ja) | 2017-10-24 | 2018-10-04 | ニューラル・ネットワークの効率の促進 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11195096B2 (enExample) |
| JP (1) | JP7163381B2 (enExample) |
| CN (1) | CN111226233A (enExample) |
| DE (1) | DE112018004693T5 (enExample) |
| GB (1) | GB2581728A (enExample) |
| WO (1) | WO2019082005A1 (enExample) |
Families Citing this family (22)
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| US11195096B2 (en) * | 2017-10-24 | 2021-12-07 | International Business Machines Corporation | Facilitating neural network efficiency |
| US20210166106A1 (en) * | 2017-12-12 | 2021-06-03 | The Regents Of The University Of California | Residual binary neural network |
| US12536418B2 (en) * | 2018-04-27 | 2026-01-27 | Carnegie Mellon University | Perturbative neural network |
| JP7287388B2 (ja) * | 2018-05-14 | 2023-06-06 | ソニーグループ株式会社 | 情報処理装置および情報処理方法 |
| US11763133B2 (en) * | 2018-08-31 | 2023-09-19 | Servicenow Canada Inc. | Data point suitability determination from edge device neural networks |
| KR102621118B1 (ko) * | 2018-11-01 | 2024-01-04 | 삼성전자주식회사 | 영상 적응적 양자화 테이블을 이용한 영상의 부호화 장치 및 방법 |
| US20200302276A1 (en) * | 2019-03-20 | 2020-09-24 | Gyrfalcon Technology Inc. | Artificial intelligence semiconductor chip having weights of variable compression ratio |
| US20220284300A1 (en) * | 2019-09-19 | 2022-09-08 | Intel Corporation | Techniques to tune scale parameter for activations in binary neural networks |
| JP7419035B2 (ja) * | 2019-11-22 | 2024-01-22 | キヤノン株式会社 | 学習モデル管理システム、学習モデル管理方法、およびプログラム |
| US20210174214A1 (en) * | 2019-12-10 | 2021-06-10 | The Mathworks, Inc. | Systems and methods for quantizing a neural network |
| US11935271B2 (en) * | 2020-01-10 | 2024-03-19 | Tencent America LLC | Neural network model compression with selective structured weight unification |
| US11823054B2 (en) | 2020-02-20 | 2023-11-21 | International Business Machines Corporation | Learned step size quantization |
| WO2021211099A1 (en) * | 2020-04-14 | 2021-10-21 | Google Llc | Efficient binary representations from neural networks |
| CN113762452B (zh) * | 2020-06-04 | 2024-01-02 | 合肥君正科技有限公司 | 一种量化prelu激活函数的方法 |
| CN113778655B (zh) * | 2020-06-09 | 2025-01-24 | 北京灵汐科技有限公司 | 一种网络精度的量化方法及系统 |
| US20220079491A1 (en) * | 2020-09-14 | 2022-03-17 | Biosense Webster (Israel) Ltd. | Local activation time analysis system |
| US12400112B2 (en) * | 2020-12-08 | 2025-08-26 | International Business Machines Corporation | Efficient method for VLSI implementation of useful neural network activation functions |
| CN114692817A (zh) * | 2020-12-31 | 2022-07-01 | 合肥君正科技有限公司 | 一种动态调整量化feature clip值的方法 |
| CN112749803B (zh) * | 2021-03-05 | 2023-05-30 | 成都启英泰伦科技有限公司 | 一种神经网络的激活函数计算量化方法 |
| WO2022216109A1 (en) * | 2021-04-09 | 2022-10-13 | Samsung Electronics Co., Ltd. | Method and electronic device for quantizing dnn model |
| JP7700577B2 (ja) | 2021-08-25 | 2025-07-01 | 富士通株式会社 | 閾値決定プログラム、閾値決定方法および閾値決定装置 |
| KR102650510B1 (ko) * | 2022-10-28 | 2024-03-22 | 한국전자기술연구원 | 영상의 노이즈 제거 방법 및 장치 |
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| JPH1063633A (ja) * | 1996-08-26 | 1998-03-06 | Denso Corp | ニューラルネットワークの演算装置及び車両用空調装置 |
| US7149262B1 (en) * | 2000-07-06 | 2006-12-12 | The Trustees Of Columbia University In The City Of New York | Method and apparatus for enhancing data resolution |
| HUP0301368A3 (en) * | 2003-05-20 | 2005-09-28 | Amt Advanced Multimedia Techno | Method and equipment for compressing motion picture data |
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| US10831444B2 (en) * | 2016-04-04 | 2020-11-10 | Technion Research & Development Foundation Limited | Quantized neural network training and inference |
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| KR102457463B1 (ko) * | 2017-01-16 | 2022-10-21 | 한국전자통신연구원 | 희소 파라미터를 사용하는 압축 신경망 시스템 및 그것의 설계 방법 |
| CN107122825A (zh) | 2017-03-09 | 2017-09-01 | 华南理工大学 | 一种神经网络模型的激活函数生成方法 |
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| CN107229942B (zh) | 2017-04-16 | 2021-03-30 | 北京工业大学 | 一种基于多个分类器的卷积神经网络分类方法 |
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| EP3657398B1 (en) * | 2017-05-23 | 2025-10-08 | Shanghai Cambricon Information Technology Co., Ltd | Processing method and accelerating device |
| KR102526650B1 (ko) * | 2017-05-25 | 2023-04-27 | 삼성전자주식회사 | 뉴럴 네트워크에서 데이터를 양자화하는 방법 및 장치 |
| US10878273B2 (en) * | 2017-07-06 | 2020-12-29 | Texas Instruments Incorporated | Dynamic quantization for deep neural network inference system and method |
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| KR102601604B1 (ko) * | 2017-08-04 | 2023-11-13 | 삼성전자주식회사 | 뉴럴 네트워크의 파라미터들을 양자화하는 방법 및 장치 |
| US10839286B2 (en) * | 2017-09-14 | 2020-11-17 | Xilinx, Inc. | System and method for implementing neural networks in integrated circuits |
| KR102728799B1 (ko) * | 2017-09-25 | 2024-11-11 | 삼성전자주식회사 | 인공 신경망의 양자화 방법 및 장치 |
| US11195096B2 (en) * | 2017-10-24 | 2021-12-07 | International Business Machines Corporation | Facilitating neural network efficiency |
| US11132605B2 (en) * | 2017-11-20 | 2021-09-28 | International Business Machines Corporation | Cardinal sine as an activation function for universal classifier training data |
| US11295208B2 (en) * | 2017-12-04 | 2022-04-05 | International Business Machines Corporation | Robust gradient weight compression schemes for deep learning applications |
| US11551077B2 (en) * | 2018-06-13 | 2023-01-10 | International Business Machines Corporation | Statistics-aware weight quantization |
| US20200226459A1 (en) * | 2019-01-11 | 2020-07-16 | International Business Machines Corporation | Adversarial input identification using reduced precision deep neural networks |
| US11551054B2 (en) * | 2019-08-27 | 2023-01-10 | International Business Machines Corporation | System-aware selective quantization for performance optimized distributed deep learning |
| US12175359B2 (en) * | 2019-09-03 | 2024-12-24 | International Business Machines Corporation | Machine learning hardware having reduced precision parameter components for efficient parameter update |
| US20210125063A1 (en) * | 2019-10-23 | 2021-04-29 | Electronics And Telecommunications Research Institute | Apparatus and method for generating binary neural network |
-
2017
- 2017-10-24 US US15/792,733 patent/US11195096B2/en active Active
-
2018
- 2018-10-04 JP JP2020521465A patent/JP7163381B2/ja active Active
- 2018-10-04 WO PCT/IB2018/057712 patent/WO2019082005A1/en not_active Ceased
- 2018-10-04 DE DE112018004693.1T patent/DE112018004693T5/de active Pending
- 2018-10-04 GB GB2006969.6A patent/GB2581728A/en not_active Withdrawn
- 2018-10-04 CN CN201880067753.0A patent/CN111226233A/zh active Pending
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