JP6755849B2 - 人工ニューラルネットワークのクラスに基づく枝刈り - Google Patents

人工ニューラルネットワークのクラスに基づく枝刈り Download PDF

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JP6755849B2
JP6755849B2 JP2017231460A JP2017231460A JP6755849B2 JP 6755849 B2 JP6755849 B2 JP 6755849B2 JP 2017231460 A JP2017231460 A JP 2017231460A JP 2017231460 A JP2017231460 A JP 2017231460A JP 6755849 B2 JP6755849 B2 JP 6755849B2
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ロビン セイボルド,
ロビン セイボルド,
チエンタン チェン,
チエンタン チェン,
ハンナ ビュオグヴィンスドッティル,
ハンナ ビュオグヴィンスドッティル,
マルティン ユングクヴィスト,
マルティン ユングクヴィスト,
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アクシス アーベー
アクシス アーベー
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    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
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    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
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    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F18/40Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
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    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/061Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using biological neurons, e.g. biological neurons connected to an integrated circuit
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02Neural networks
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects

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JP2017231460A 2016-12-21 2017-12-01 人工ニューラルネットワークのクラスに基づく枝刈り Active JP6755849B2 (ja)

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EP16205831.7 2016-12-21
EP16205831.7A EP3340129B1 (en) 2016-12-21 2016-12-21 Artificial neural network class-based pruning

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JP6755849B2 true JP6755849B2 (ja) 2020-09-16

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EP (1) EP3340129B1 (enExample)
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KR (1) KR102110486B1 (enExample)
CN (1) CN108229667B (enExample)
TW (1) TWI698807B (enExample)

Families Citing this family (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5787408A (en) * 1996-08-23 1998-07-28 The United States Of America As Represented By The Secretary Of The Navy System and method for determining node functionality in artificial neural networks
JP2000298661A (ja) * 1999-04-15 2000-10-24 Fuji Xerox Co Ltd ニューラルネットワーク装置
US7308418B2 (en) * 2004-05-24 2007-12-11 Affinova, Inc. Determining design preferences of a group
JP4175296B2 (ja) * 2004-06-25 2008-11-05 キャタピラージャパン株式会社 建設機械のデータ処理装置及び建設機械のデータ処理方法
JP2009516246A (ja) * 2005-11-15 2009-04-16 ベルナデット ガーナー ニューラルネットワークのトレーニング方法
US7800490B2 (en) * 2008-01-09 2010-09-21 Sensormatic Electronics, LLC Electronic article surveillance system neural network minimizing false alarms and failures to deactivate
JP5860054B2 (ja) * 2010-10-27 2016-02-16 ソリド デザイン オートメーション インコーポレイティド まれな不良事象率を識別するための方法およびシステム
US9147155B2 (en) * 2011-08-16 2015-09-29 Qualcomm Incorporated Method and apparatus for neural temporal coding, learning and recognition
KR101359352B1 (ko) * 2012-06-28 2014-02-21 한국과학기술원 시각신경 회로장치 및 이를 이용한 시각신경 모방 시스템
US9406017B2 (en) * 2012-12-24 2016-08-02 Google Inc. System and method for addressing overfitting in a neural network
CN103209417B (zh) * 2013-03-05 2016-01-20 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
US9747554B2 (en) * 2013-05-24 2017-08-29 Qualcomm Incorporated Learning device with continuous configuration capability
US9721204B2 (en) * 2013-10-28 2017-08-01 Qualcomm Incorporated Evaluation of a system including separable sub-systems over a multidimensional range
US10373054B2 (en) * 2015-04-19 2019-08-06 International Business Machines Corporation Annealed dropout training of neural networks
CN107545303B (zh) * 2016-01-20 2021-09-07 中科寒武纪科技股份有限公司 用于稀疏人工神经网络的计算装置和运算方法
US11315018B2 (en) * 2016-10-21 2022-04-26 Nvidia Corporation Systems and methods for pruning neural networks for resource efficient inference

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US20180181867A1 (en) 2018-06-28
US10552737B2 (en) 2020-02-04
CN108229667B (zh) 2019-09-10
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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