KR20230115917A - 자동으로 발견된 실패 케이스들을 사용하여 신경 네트워크의 성능 개선하기 - Google Patents
자동으로 발견된 실패 케이스들을 사용하여 신경 네트워크의 성능 개선하기 Download PDFInfo
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- KR20230115917A KR20230115917A KR1020230010019A KR20230010019A KR20230115917A KR 20230115917 A KR20230115917 A KR 20230115917A KR 1020230010019 A KR1020230010019 A KR 1020230010019A KR 20230010019 A KR20230010019 A KR 20230010019A KR 20230115917 A KR20230115917 A KR 20230115917A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/1916—Validation; Performance evaluation
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
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- G06F11/36—Prevention of errors by analysis, debugging or testing of software
- G06F11/3668—Testing of software
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Prevention of errors by analysis, debugging or testing of software
- G06F11/3668—Testing of software
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G06F40/40—Processing or translation of natural language
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- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G06N3/00—Computing arrangements based on biological models
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- G06N3/0475—Generative networks
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- G06N3/09—Supervised learning
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- G—PHYSICS
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- G06N3/08—Learning methods
- G06N3/092—Reinforcement learning
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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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
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1895—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for short real-time information, e.g. alarms, notifications, alerts, updates
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/02—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Machine Translation (AREA)
- Debugging And Monitoring (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202263303958P | 2022-01-27 | 2022-01-27 | |
| US63/303,958 | 2022-01-27 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230115917A true KR20230115917A (ko) | 2023-08-03 |
Family
ID=86114565
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020230010019A Pending KR20230115917A (ko) | 2022-01-27 | 2023-01-26 | 자동으로 발견된 실패 케이스들을 사용하여 신경 네트워크의 성능 개선하기 |
Country Status (3)
| Country | Link |
|---|---|
| US (2) | US12327421B2 (https=) |
| JP (2) | JP7571167B2 (https=) |
| KR (1) | KR20230115917A (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12596890B2 (en) * | 2023-03-30 | 2026-04-07 | Salesforce, Inc. | Systems and methods for cross-lingual transfer learning |
| US12346243B2 (en) * | 2023-06-13 | 2025-07-01 | Sap Se | Intelligent digital assistant for software testing automation |
| US20250004910A1 (en) * | 2023-06-27 | 2025-01-02 | Microsoft Technology Licensing, Llc | Automated software testing using natural language-based form completion |
| JP2025036355A (ja) * | 2023-08-30 | 2025-03-14 | 宏達國際電子股▲ふん▼有限公司 | 外れた文字データをスクリーニングするためのデータ分類方法 |
| US12517812B2 (en) | 2023-09-06 | 2026-01-06 | The Toronto-Dominion Bank | Security testing based on generative artificial intelligence |
| US12499241B2 (en) | 2023-09-06 | 2025-12-16 | The Toronto-Dominion Bank | Correcting security vulnerabilities with generative artificial intelligence |
| GB2634926A (en) * | 2023-10-26 | 2025-04-30 | Univ Nanyang Tech | Method and system for diagnosing machine learning model underperformance or failure |
| US12596628B2 (en) | 2023-11-03 | 2026-04-07 | Ropes AI Inc | Automated computer code timeline generation |
| US20250259073A1 (en) * | 2024-02-14 | 2025-08-14 | Deepmind Technologies Limited | Reinforcement learning through preference feedback |
| CN119201748B (zh) * | 2024-11-20 | 2025-03-14 | 长江证券股份有限公司 | 测试用例生成方法、装置、设备及可读存储介质 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018063504A (ja) * | 2016-10-12 | 2018-04-19 | 株式会社リコー | 生成モデル学習方法、装置及びプログラム |
| JP2019125014A (ja) * | 2018-01-12 | 2019-07-25 | コニカミノルタ株式会社 | 学習装置、学習方法、および学習プログラム |
| US10956310B2 (en) * | 2018-08-30 | 2021-03-23 | International Business Machines Corporation | Automated test case generation for deep neural networks and other model-based artificial intelligence systems |
| US11455807B2 (en) * | 2018-09-20 | 2022-09-27 | Nvidia Corporation | Training neural networks for vehicle re-identification |
| JP7103957B2 (ja) * | 2019-01-09 | 2022-07-20 | 株式会社Nttドコモ | データ生成装置 |
| US11138469B2 (en) * | 2019-01-15 | 2021-10-05 | Naver Corporation | Training and using a convolutional neural network for person re-identification |
| US12481891B2 (en) * | 2020-10-26 | 2025-11-25 | Google Llc | Training neural networks with label differential privacy |
-
2023
- 2023-01-26 JP JP2023010303A patent/JP7571167B2/ja active Active
- 2023-01-26 KR KR1020230010019A patent/KR20230115917A/ko active Pending
- 2023-01-27 US US18/160,860 patent/US12327421B2/en active Active
-
2024
- 2024-10-09 JP JP2024177329A patent/JP2025020137A/ja active Pending
-
2025
- 2025-05-14 US US19/208,505 patent/US20250273001A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US20250273001A1 (en) | 2025-08-28 |
| JP7571167B2 (ja) | 2024-10-22 |
| CN116049003A (zh) | 2023-05-02 |
| US20230237826A1 (en) | 2023-07-27 |
| JP2025020137A (ja) | 2025-02-12 |
| US12327421B2 (en) | 2025-06-10 |
| JP2023109726A (ja) | 2023-08-08 |
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