JP2021503662A - ニューラルネットワークのモデルの訓練 - Google Patents
ニューラルネットワークのモデルの訓練 Download PDFInfo
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- JP2021503662A JP2021503662A JP2020527768A JP2020527768A JP2021503662A JP 2021503662 A JP2021503662 A JP 2021503662A JP 2020527768 A JP2020527768 A JP 2020527768A JP 2020527768 A JP2020527768 A JP 2020527768A JP 2021503662 A JP2021503662 A JP 2021503662A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762588575P | 2017-11-20 | 2017-11-20 | |
| US62/588,575 | 2017-11-20 | ||
| PCT/EP2018/081838 WO2019097071A1 (en) | 2017-11-20 | 2018-11-20 | Training a neural network model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2021503662A true JP2021503662A (ja) | 2021-02-12 |
| JP2021503662A5 JP2021503662A5 (https=) | 2022-01-04 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020527768A Pending JP2021503662A (ja) | 2017-11-20 | 2018-11-20 | ニューラルネットワークのモデルの訓練 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20190156204A1 (https=) |
| EP (1) | EP3714405A1 (https=) |
| JP (1) | JP2021503662A (https=) |
| CN (1) | CN111656372A (https=) |
| WO (1) | WO2019097071A1 (https=) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2022190874A (ja) * | 2021-06-15 | 2022-12-27 | 日本電信電話株式会社 | 学習装置、学習方法及びプログラム |
| WO2025009063A1 (ja) * | 2023-07-04 | 2025-01-09 | 日本電信電話株式会社 | 学習装置、学習方法、及びプログラム |
| JP2026502028A (ja) * | 2023-11-14 | 2026-01-21 | 江原大学校産学協力団 | 心電図復元モデル生成装置、心電図復元モデル生成方法および心電図復元方法 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10572775B2 (en) * | 2017-12-05 | 2020-02-25 | X Development Llc | Learning and applying empirical knowledge of environments by robots |
| US11676220B2 (en) | 2018-04-20 | 2023-06-13 | Meta Platforms, Inc. | Processing multimodal user input for assistant systems |
| US11886473B2 (en) | 2018-04-20 | 2024-01-30 | Meta Platforms, Inc. | Intent identification for agent matching by assistant systems |
| US10963273B2 (en) * | 2018-04-20 | 2021-03-30 | Facebook, Inc. | Generating personalized content summaries for users |
| US11715042B1 (en) | 2018-04-20 | 2023-08-01 | Meta Platforms Technologies, Llc | Interpretability of deep reinforcement learning models in assistant systems |
| US11307880B2 (en) | 2018-04-20 | 2022-04-19 | Meta Platforms, Inc. | Assisting users with personalized and contextual communication content |
| KR102718664B1 (ko) | 2018-05-25 | 2024-10-18 | 삼성전자주식회사 | 영상 처리를 위한 네트워크 조정 방법 및 장치 |
| CN108764185B (zh) * | 2018-06-01 | 2022-07-19 | 京东方科技集团股份有限公司 | 一种图像处理方法及装置 |
| US11301718B2 (en) * | 2018-12-28 | 2022-04-12 | Vizit Labs, Inc. | Systems, methods, and storage media for training a machine learning model |
| US12293294B2 (en) | 2018-12-28 | 2025-05-06 | Vizit Labs, Inc. | Systems and methods for image or video performance heat map generation |
| US12046062B2 (en) | 2019-06-27 | 2024-07-23 | Tata Consultancy Services Limited | Intelligent visual reasoning over graphical illustrations using a MAC unit |
| DE102019209463A1 (de) * | 2019-06-27 | 2020-12-31 | Robert Bosch Gmbh | Verfahren zur Bestimmung eines Vertrauenswertes eines Objektes einer Klasse |
| JP2021015425A (ja) * | 2019-07-11 | 2021-02-12 | 富士通株式会社 | 学習方法、学習プログラム及び学習装置 |
| CN110688942B (zh) * | 2019-09-25 | 2023-05-26 | 西安邮电大学 | 一种基于InResNet网络的心电信号联合识别模块及方法 |
| US11861674B1 (en) | 2019-10-18 | 2024-01-02 | Meta Platforms Technologies, Llc | Method, one or more computer-readable non-transitory storage media, and a system for generating comprehensive information for products of interest by assistant systems |
| US12574627B2 (en) * | 2019-10-18 | 2026-03-10 | Meta Platforms Technologies, Llc | Smart cameras enabled by assistant systems |
| US11567788B1 (en) | 2019-10-18 | 2023-01-31 | Meta Platforms, Inc. | Generating proactive reminders for assistant systems |
| KR102402011B1 (ko) * | 2020-02-18 | 2022-05-27 | 재단법인 아산사회복지재단 | 의료영상 처리 장치와 그 의료영상 학습 방법 및 의료영상 처리 방법 |
| US11449716B2 (en) * | 2020-03-31 | 2022-09-20 | International Business Machines Corporation | Model training using partially-annotated images |
| US11526694B2 (en) | 2020-03-31 | 2022-12-13 | International Business Machines Corporation | Model training using fully and partially-annotated images |
| DE112021002345T5 (de) * | 2020-04-16 | 2023-04-06 | Koninklijke Philips N.V. | Unterstützung eines benutzers bei der durchführung einer medizinischen ultraschalluntersuchung |
| US11651499B2 (en) | 2020-09-17 | 2023-05-16 | International Business Machines Corporation | Reducing structural redundancy in automatic image segmentation |
| KR102899905B1 (ko) * | 2020-10-07 | 2025-12-18 | 삼성전자주식회사 | 인공 신경망을 이용한 추론을 위한 트레이닝 방법, 인공 신경망을 이용한 추론 방법, 및 추론 장치 |
| CN112603330B (zh) * | 2020-12-28 | 2022-07-26 | 中国科学院微电子研究所 | 心电信号识别分类方法 |
| CN112732913B (zh) * | 2020-12-30 | 2023-08-22 | 平安科技(深圳)有限公司 | 一种非均衡样本的分类方法、装置、设备及存储介质 |
| US12315218B2 (en) * | 2022-07-06 | 2025-05-27 | Shanghai United Imaging Intelligence Co., Ltd. | Systems and methods for tracking groups of objects in medical images |
| US12456240B2 (en) * | 2022-12-19 | 2025-10-28 | Immunitybio, Inc. | Fiducial localization with sparse annotations |
| FR3148661B1 (fr) * | 2023-05-11 | 2026-04-17 | St Microelectronics Int Nv | Contrôle de la luminosité d’un écran |
| US20250119445A1 (en) * | 2023-10-07 | 2025-04-10 | Jpmorgan Chase Bank, N.A. | System and method for providing advanced neuron-level vulnerability analysis in neural network-based models |
| WO2026084200A1 (ko) * | 2024-10-15 | 2026-04-23 | 재단법인 한국마이크로의료로봇연구원 | 인공지능 기반 시선 추적 시스템 및 방법 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017007626A1 (en) * | 2015-07-09 | 2017-01-12 | Qualcomm Incorporated | Context-based priors for object detection in images |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2577963A1 (en) * | 2010-05-26 | 2013-04-10 | Ramot at Tel Aviv University, Ltd. | Method and system for correcting gaze offset |
| US10185803B2 (en) * | 2015-06-15 | 2019-01-22 | Deep Genomics Incorporated | Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network |
| US10089576B2 (en) * | 2015-07-28 | 2018-10-02 | Microsoft Technology Licensing, Llc | Representation learning using multi-task deep neural networks |
| WO2017189758A1 (en) * | 2016-04-26 | 2017-11-02 | Ascend Hit Llc | System and methods for medical image analysis and reporting |
| CN107016665B (zh) * | 2017-02-16 | 2021-05-04 | 浙江大学 | 一种基于深度卷积神经网络的ct肺结节检测方法 |
| CN106713929B (zh) * | 2017-02-16 | 2019-06-28 | 清华大学深圳研究生院 | 一种基于深度神经网络的视频帧间预测增强方法 |
-
2018
- 2018-11-13 US US16/188,835 patent/US20190156204A1/en not_active Abandoned
- 2018-11-20 WO PCT/EP2018/081838 patent/WO2019097071A1/en not_active Ceased
- 2018-11-20 JP JP2020527768A patent/JP2021503662A/ja active Pending
- 2018-11-20 EP EP18807285.4A patent/EP3714405A1/en not_active Withdrawn
- 2018-11-20 CN CN201880086997.3A patent/CN111656372A/zh active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017007626A1 (en) * | 2015-07-09 | 2017-01-12 | Qualcomm Incorporated | Context-based priors for object detection in images |
Non-Patent Citations (4)
| Title |
|---|
| WANG, XIN, ET AL.: "Gaze latent support vector machine for image classification improved by weakly supervised region sel", PATTERN RECOGNITION, vol. 72, JPN6022055771, 3 July 2017 (2017-07-03), pages 59 - 71, ISSN: 0005124084 * |
| ZHOU, BOLEI, ET AL.: "Learning Deep Features for Discriminative Localization", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), JPN6022055772, 2016, pages 2921 - 2929, ISSN: 0005124085 * |
| 矢倉大夢、外4名: "CNNと注意機構による画像化されたマルウェアの解析手法", コンピュータセキュリティシンポジウム2017論文集, vol. 2017, no. 2, JPN6022055773, 16 October 2017 (2017-10-16), JP, pages 1381 - 1388, ISSN: 0005124086 * |
| 磯沼大、外6名: "業績推定とのマルチタスク学習による決算短信からの重要文抽出", 電子情報通信学会技術研究報告, vol. 116, no. 451, JPN6022055776, 2 February 2017 (2017-02-02), JP, pages 45 - 50, ISSN: 0005124087 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2022190874A (ja) * | 2021-06-15 | 2022-12-27 | 日本電信電話株式会社 | 学習装置、学習方法及びプログラム |
| JP7572684B2 (ja) | 2021-06-15 | 2024-10-24 | 日本電信電話株式会社 | 学習装置、学習方法及びプログラム |
| WO2025009063A1 (ja) * | 2023-07-04 | 2025-01-09 | 日本電信電話株式会社 | 学習装置、学習方法、及びプログラム |
| JP2026502028A (ja) * | 2023-11-14 | 2026-01-21 | 江原大学校産学協力団 | 心電図復元モデル生成装置、心電図復元モデル生成方法および心電図復元方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111656372A (zh) | 2020-09-11 |
| RU2020120475A (ru) | 2021-12-22 |
| US20190156204A1 (en) | 2019-05-23 |
| EP3714405A1 (en) | 2020-09-30 |
| WO2019097071A1 (en) | 2019-05-23 |
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