JPWO2021064787A1 - - Google Patents
Info
- Publication number
- JPWO2021064787A1 JPWO2021064787A1 JP2021550747A JP2021550747A JPWO2021064787A1 JP WO2021064787 A1 JPWO2021064787 A1 JP WO2021064787A1 JP 2021550747 A JP2021550747 A JP 2021550747A JP 2021550747 A JP2021550747 A JP 2021550747A JP WO2021064787 A1 JPWO2021064787 A1 JP WO2021064787A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- 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
- G06N3/045—Combinations of networks
-
- 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]
-
- 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
- G06N3/0495—Quantised networks; Sparse networks; Compressed networks
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/038498 WO2021064787A1 (ja) | 2019-09-30 | 2019-09-30 | 学習システム、学習装置、および学習方法 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021064787A1 true JPWO2021064787A1 (https=) | 2021-04-08 |
| JPWO2021064787A5 JPWO2021064787A5 (https=) | 2022-05-30 |
| JP7468540B2 JP7468540B2 (ja) | 2024-04-16 |
Family
ID=75337760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021550747A Active JP7468540B2 (ja) | 2019-09-30 | 2019-09-30 | 学習システム、学習装置、および学習方法 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220343163A1 (https=) |
| JP (1) | JP7468540B2 (https=) |
| WO (1) | WO2021064787A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114981820A (zh) * | 2019-12-20 | 2022-08-30 | 谷歌有限责任公司 | 用于在边缘设备上评估和选择性蒸馏机器学习模型的系统和方法 |
| WO2021182748A1 (ko) * | 2020-03-10 | 2021-09-16 | 삼성전자주식회사 | 전자 장치 및 그 제어 방법 |
| US12210585B2 (en) * | 2021-03-10 | 2025-01-28 | Qualcomm Incorporated | Efficient test-time adaptation for improved temporal consistency in video processing |
| CN113283578B (zh) * | 2021-04-14 | 2024-07-23 | 南京大学 | 一种基于标记风险控制的数据去噪方法 |
| CN117751380A (zh) * | 2021-08-05 | 2024-03-22 | 富士通株式会社 | 生成方法、信息处理装置以及生成程序 |
| JP7683426B2 (ja) * | 2021-08-31 | 2025-05-27 | 株式会社Ｊｖｃケンウッド | 画像処理装置、画像処理方法、および画像処理プログラム |
| WO2023048437A1 (ko) * | 2021-09-25 | 2023-03-30 | 주식회사 메디컬에이아이 | 의료 데이터를 기반으로 하는 딥러닝 모델의 학습 및 추론 방법, 프로그램 및 장치 |
| US11853392B2 (en) * | 2021-11-30 | 2023-12-26 | International Business Machines Corporation | Providing reduced training data for training a machine learning model |
| JP7840834B2 (ja) * | 2022-12-01 | 2026-04-06 | 株式会社東芝 | 学習装置、方法、プログラム及び推論装置 |
| CN116030323B (zh) * | 2023-03-27 | 2023-08-29 | 阿里巴巴（中国）有限公司 | 图像处理方法以及装置 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170132528A1 (en) * | 2015-11-06 | 2017-05-11 | Microsoft Technology Licensing, Llc | Joint model training |
-
2019
- 2019-09-30 WO PCT/JP2019/038498 patent/WO2021064787A1/ja not_active Ceased
- 2019-09-30 US US17/762,418 patent/US20220343163A1/en not_active Abandoned
- 2019-09-30 JP JP2021550747A patent/JP7468540B2/ja active Active
Non-Patent Citations (4)
| Title |
|---|
| "ラベルの付け間違いが分かる！？", THE LABELLIO BLOG[ONLINE], JPN6019049656, 4 July 2019 (2019-07-04), ISSN: 0005191129 * |
| ROMERO, ADRIANA ほか: "FitNets: Hints for Thin Deep Nets", ARXIV[ONLINE], JPN6019049654, 27 March 2015 (2015-03-27), pages 1 - 13, ISSN: 0005191128 * |
| WANG, ZIHAN ほか: "CrossWeigh: Training Named Entity Tagger from Imperfect Annotations", ARXIV[ONLINE], JPN6023045435, 3 September 2019 (2019-09-03), ISSN: 0005191127 * |
| YUZUPEPPER: "論文メモ：Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach", QIITA[ONLINE], JPN6019049655, 20 August 2017 (2017-08-20), ISSN: 0005191130 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US20220343163A1 (en) | 2022-10-27 |
| WO2021064787A1 (ja) | 2021-04-08 |
| JP7468540B2 (ja) | 2024-04-16 |
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