CN108229667B - 基于人工神经网络类别的修剪 - Google Patents
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP16205831.7 | 2016-12-21 | ||
| EP16205831.7A EP3340129B1 (en) | 2016-12-21 | 2016-12-21 | Artificial neural network class-based pruning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108229667A CN108229667A (zh) | 2018-06-29 |
| CN108229667B true CN108229667B (zh) | 2019-09-10 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711214867.7A Active CN108229667B (zh) | 2016-12-21 | 2017-11-28 | 基于人工神经网络类别的修剪 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10552737B2 (enExample) |
| EP (1) | EP3340129B1 (enExample) |
| JP (1) | JP6755849B2 (enExample) |
| KR (1) | KR102110486B1 (enExample) |
| CN (1) | CN108229667B (enExample) |
| TW (1) | TWI698807B (enExample) |
Families Citing this family (31)
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| CN108268947A (zh) * | 2016-12-30 | 2018-07-10 | 富士通株式会社 | 用于提高神经网络的处理速度的装置和方法及其应用 |
| US10892050B2 (en) * | 2018-04-13 | 2021-01-12 | International Business Machines Corporation | Deep image classification of medical images |
| KR101989793B1 (ko) | 2018-10-22 | 2019-06-17 | 한국기술교육대학교 산학협력단 | 컨볼루션 신경망을 위한 가속기 인식 가지 치기 방법 및 기록 매체 |
| KR102796861B1 (ko) | 2018-12-10 | 2025-04-17 | 삼성전자주식회사 | 인공 신경망을 압축하기 위한 장치 및 방법 |
| KR102865734B1 (ko) * | 2019-01-02 | 2025-09-26 | 삼성전자주식회사 | 뉴럴 네트워크 최적화 장치 및 뉴럴 네트워크 최적화 방법 |
| US11551093B2 (en) * | 2019-01-22 | 2023-01-10 | Adobe Inc. | Resource-aware training for neural networks |
| KR102214837B1 (ko) * | 2019-01-29 | 2021-02-10 | 주식회사 디퍼아이 | 컨벌루션 신경망 파라미터 최적화 방법, 컨벌루션 신경망 연산방법 및 그 장치 |
| JP7099968B2 (ja) * | 2019-01-31 | 2022-07-12 | 日立Astemo株式会社 | 演算装置 |
| JP7225876B2 (ja) | 2019-02-08 | 2023-02-21 | 富士通株式会社 | 情報処理装置、演算処理装置および情報処理装置の制御方法 |
| DE102019202816A1 (de) * | 2019-03-01 | 2020-09-03 | Robert Bosch Gmbh | Training neuronaler Netzwerke für effizientes Implementieren auf Hardware |
| JP7150651B2 (ja) * | 2019-03-22 | 2022-10-11 | 株式会社日立ソリューションズ・テクノロジー | ニューラルネットワークのモデル縮約装置 |
| KR102368962B1 (ko) | 2019-03-22 | 2022-03-03 | 국민대학교산학협력단 | 멤리스터 어레이 회로를 제어하기 위한 게이트 회로를 포함하는 뉴럴 네트워크 시스템 |
| JP2022095999A (ja) * | 2019-04-19 | 2022-06-29 | 国立大学法人北海道大学 | ニューラル計算装置、および、ニューラル計算方法 |
| KR102782971B1 (ko) | 2019-05-08 | 2025-03-18 | 삼성전자주식회사 | 인공 신경망 모델을 트레이닝하는 컴퓨팅 장치, 인공 신경망 모델을 트레이닝하는 방법 및 이를 저장하는 메모리 시스템 |
| JP6787444B1 (ja) | 2019-05-23 | 2020-11-18 | 沖電気工業株式会社 | ニューラルネットワーク軽量化装置、ニューラルネットワーク軽量化方法およびプログラム |
| CN112070221B (zh) * | 2019-05-31 | 2024-01-16 | 中科寒武纪科技股份有限公司 | 运算方法、装置及相关产品 |
| US11514311B2 (en) * | 2019-07-03 | 2022-11-29 | International Business Machines Corporation | Automated data slicing based on an artificial neural network |
| WO2021040921A1 (en) * | 2019-08-29 | 2021-03-04 | Alibaba Group Holding Limited | Systems and methods for providing vector-wise sparsity in a neural network |
| JP7111671B2 (ja) | 2019-09-05 | 2022-08-02 | 株式会社東芝 | 学習装置、学習システム、および学習方法 |
| DE102019128715A1 (de) * | 2019-10-24 | 2021-04-29 | Krohne Messtechnik Gmbh | Verfahren zur Erzeugung eines neuronalen Netzes für ein Feldgerät zur Vorhersage von Feldgerätfehlern und ein entsprechendes System |
| US11816574B2 (en) * | 2019-10-25 | 2023-11-14 | Alibaba Group Holding Limited | Structured pruning for machine learning model |
| JP7396117B2 (ja) | 2020-02-27 | 2023-12-12 | オムロン株式会社 | モデル更新装置、方法、及びプログラム |
| JP7495833B2 (ja) * | 2020-07-07 | 2024-06-05 | 株式会社日立ソリューションズ・テクノロジー | Dnnモデル圧縮システム |
| EP3945470A1 (en) * | 2020-07-31 | 2022-02-02 | Aptiv Technologies Limited | Methods and systems for reducing the complexity of a computational network |
| KR20220048832A (ko) | 2020-10-13 | 2022-04-20 | 삼성전자주식회사 | 인공 신경망 프루닝 방법 및 장치 |
| US12340313B2 (en) * | 2020-11-30 | 2025-06-24 | Moffett International Co., Limited | Neural network pruning method and system via layerwise analysis |
| JP7700650B2 (ja) * | 2021-11-25 | 2025-07-01 | 富士通株式会社 | モデル削減プログラム、装置、及び方法 |
| GB202118066D0 (en) | 2021-12-14 | 2022-01-26 | Univ Dublin | Class separation aware artificial neural network pruning method |
| US12061632B2 (en) * | 2022-03-29 | 2024-08-13 | Treasure Data, Inc. | Interactive adaptation of machine learning models for time series data |
| KR20240028055A (ko) * | 2022-08-24 | 2024-03-05 | 동국대학교 산학협력단 | 사이버 공격에 강인한 인공 신경망 구조 재구성 장치 및 방법 |
| US20250190694A1 (en) * | 2023-12-07 | 2025-06-12 | International Business Machines Corporation | Limiting undesired large language model (llm) output |
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| CN101310294A (zh) * | 2005-11-15 | 2008-11-19 | 伯纳黛特·加纳 | 神经网络的训练方法 |
| CN103209417A (zh) * | 2013-03-05 | 2013-07-17 | 北京邮电大学 | 基于神经网络的频谱占用状态的预测方法以及装置 |
| CN105512723A (zh) * | 2016-01-20 | 2016-04-20 | 南京艾溪信息科技有限公司 | 一种用于稀疏连接的人工神经网络计算装置和方法 |
| CN105580031A (zh) * | 2013-10-28 | 2016-05-11 | 高通股份有限公司 | 在多维范围上对包括可分离子系统的系统的评估 |
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2016
- 2016-12-21 EP EP16205831.7A patent/EP3340129B1/en active Active
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2017
- 2017-10-25 TW TW106136613A patent/TWI698807B/zh active
- 2017-11-28 CN CN201711214867.7A patent/CN108229667B/zh active Active
- 2017-12-01 JP JP2017231460A patent/JP6755849B2/ja active Active
- 2017-12-15 KR KR1020170173396A patent/KR102110486B1/ko active Active
- 2017-12-21 US US15/851,173 patent/US10552737B2/en active Active
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| CN101310294A (zh) * | 2005-11-15 | 2008-11-19 | 伯纳黛特·加纳 | 神经网络的训练方法 |
| CN103209417A (zh) * | 2013-03-05 | 2013-07-17 | 北京邮电大学 | 基于神经网络的频谱占用状态的预测方法以及装置 |
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Also Published As
| Publication number | Publication date |
|---|---|
| US20180181867A1 (en) | 2018-06-28 |
| US10552737B2 (en) | 2020-02-04 |
| JP6755849B2 (ja) | 2020-09-16 |
| KR102110486B1 (ko) | 2020-05-13 |
| EP3340129B1 (en) | 2019-01-30 |
| KR20180072562A (ko) | 2018-06-29 |
| TWI698807B (zh) | 2020-07-11 |
| JP2018129033A (ja) | 2018-08-16 |
| CN108229667A (zh) | 2018-06-29 |
| TW201824093A (zh) | 2018-07-01 |
| EP3340129A1 (en) | 2018-06-27 |
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