SG11202009486PA - Multi-task recurrent neural networks - Google Patents
Multi-task recurrent neural networksInfo
- Publication number
- SG11202009486PA SG11202009486PA SG11202009486PA SG11202009486PA SG11202009486PA SG 11202009486P A SG11202009486P A SG 11202009486PA SG 11202009486P A SG11202009486P A SG 11202009486PA SG 11202009486P A SG11202009486P A SG 11202009486PA SG 11202009486P A SG11202009486P A SG 11202009486PA
- Authority
- SG
- Singapore
- Prior art keywords
- neural networks
- recurrent neural
- task
- task recurrent
- networks
- Prior art date
Links
- 238000013528 artificial neural network Methods 0.000 title 1
- 230000000306 recurrent effect Effects 0.000 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F12/00—Accessing, addressing or allocating within memory systems or architectures
- G06F12/02—Addressing or allocation; Relocation
- G06F12/0223—User address space allocation, e.g. contiguous or non contiguous base addressing
- G06F12/0284—Multiple user address space allocation, e.g. using different base addresses
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F12/00—Accessing, addressing or allocating within memory systems or architectures
- G06F12/02—Addressing or allocation; Relocation
- G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
- G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
- G06F12/0862—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with prefetch
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
- G06F3/0659—Command handling arrangements, e.g. command buffers, queues, command scheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/0671—In-line storage system
- G06F3/0673—Single storage device
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2212/00—Indexing scheme relating to accessing, addressing or allocation within memory systems or architectures
- G06F2212/60—Details of cache memory
- G06F2212/6024—History based prefetching
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Memory System Of A Hierarchy Structure (AREA)
- Image Analysis (AREA)
- Advance Control (AREA)
- Executing Machine-Instructions (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Feedback Control In General (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Small-Scale Networks (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862769512P | 2018-11-19 | 2018-11-19 | |
| US16/262,785 US11416733B2 (en) | 2018-11-19 | 2019-01-30 | Multi-task recurrent neural networks |
| PCT/US2019/061780 WO2020106581A1 (en) | 2018-11-19 | 2019-11-15 | Multi-task recurrent neural networks |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202009486PA true SG11202009486PA (en) | 2020-10-29 |
Family
ID=70726431
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202009486PA SG11202009486PA (en) | 2018-11-19 | 2019-11-15 | Multi-task recurrent neural networks |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US11416733B2 (en) |
| EP (1) | EP3884391A1 (en) |
| JP (2) | JP7057437B2 (en) |
| KR (2) | KR102625762B1 (en) |
| CN (2) | CN112970006B (en) |
| BR (1) | BR112020020110A2 (en) |
| CA (1) | CA3095205C (en) |
| SG (1) | SG11202009486PA (en) |
| TW (2) | TW202341009A (en) |
| WO (1) | WO2020106581A1 (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US11494597B2 (en) * | 2019-03-22 | 2022-11-08 | Sri International | Generative memory for lifelong machine learning |
| US11568246B2 (en) | 2019-05-09 | 2023-01-31 | Sri International | Synthetic training examples from advice for training autonomous agents |
| US11586895B1 (en) * | 2019-06-17 | 2023-02-21 | Green Mountain Semiconductor, Inc. | Recursive neural network using random access memory |
| US11151695B1 (en) * | 2019-08-16 | 2021-10-19 | Perceive Corporation | Video denoising using neural networks with spatial and temporal features |
| TWI753630B (en) * | 2020-10-13 | 2022-01-21 | 財團法人工業技術研究院 | Classification device and classification method based on neural network |
| CN112528664B (en) * | 2021-02-05 | 2021-04-27 | 湖南工商大学 | Address matching method based on multi-task joint learning and address hierarchical structure knowledge |
| CN113705839B (en) * | 2021-09-13 | 2023-10-20 | 北京博瑞华通科技有限公司 | Predictive maintenance method and maintenance system for fuel cell stack |
| US12007899B2 (en) * | 2021-09-30 | 2024-06-11 | Micron Technology, Inc. | Delta predictions for page scheduling |
| CN114268939B (en) * | 2021-11-12 | 2024-03-08 | 重庆市中冉数字科技有限公司 | Abnormal user identification method in mobile communication and intelligent device |
| CN116431315B (en) * | 2023-06-07 | 2023-08-29 | 成都登临科技有限公司 | Batch processing task processing method and device, electronic equipment and storage medium |
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| JPH10171653A (en) * | 1996-10-09 | 1998-06-26 | Nkk Corp | Branch estimation method for information processor and device using the method |
| US9141390B2 (en) * | 2001-03-05 | 2015-09-22 | Pact Xpp Technologies Ag | Method of processing data with an array of data processors according to application ID |
| US7664644B1 (en) | 2006-06-09 | 2010-02-16 | At&T Intellectual Property Ii, L.P. | Multitask learning for spoken language understanding |
| US8938655B2 (en) | 2007-12-20 | 2015-01-20 | Spansion Llc | Extending flash memory data retension via rewrite refresh |
| US8200593B2 (en) * | 2009-07-20 | 2012-06-12 | Corticaldb Inc | Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network |
| JP2013537435A (en) * | 2010-06-07 | 2013-10-03 | アフェクティヴァ，インコーポレイテッド | Psychological state analysis using web services |
| US8965819B2 (en) * | 2010-08-16 | 2015-02-24 | Oracle International Corporation | System and method for effective caching using neural networks |
| US8683178B2 (en) | 2011-01-21 | 2014-03-25 | Apple Inc. | Sharing a fault-status register when processing vector instructions |
| CN105264501B (en) * | 2013-06-19 | 2018-06-08 | 英派尔科技开发有限公司 | The method and apparatus for positioning the data being cached in multi-core processor |
| US9978014B2 (en) | 2013-12-18 | 2018-05-22 | Intel Corporation | Reconfigurable processing unit |
| WO2015130928A1 (en) * | 2014-02-26 | 2015-09-03 | Nancy Packes, Inc. | Real estate evaluating platform methods, apparatuses, and media |
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| TWI655587B (en) | 2015-01-22 | 2019-04-01 | 美商前進公司 | Neural network and method of neural network training |
| US10860837B2 (en) | 2015-07-20 | 2020-12-08 | University Of Maryland, College Park | Deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition |
| US9336482B1 (en) * | 2015-07-27 | 2016-05-10 | Google Inc. | Predicting likelihoods of conditions being satisfied using recurrent neural networks |
| US9652712B2 (en) | 2015-07-27 | 2017-05-16 | Google Inc. | Analyzing health events using recurrent neural networks |
| US10546650B2 (en) * | 2015-10-23 | 2020-01-28 | Google Llc | Neural network for processing aptamer data |
| KR102271262B1 (en) * | 2015-11-12 | 2021-06-30 | 구글 엘엘씨 | CGR Neural Networks |
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| US20200193268A1 (en) * | 2018-12-14 | 2020-06-18 | Advanced Micro Devices, Inc. | Multi-instance recurrent neural network prediction |
-
2019
- 2019-01-30 US US16/262,785 patent/US11416733B2/en active Active
- 2019-07-18 TW TW112122136A patent/TW202341009A/en unknown
- 2019-07-18 TW TW108125405A patent/TWI808219B/en active
- 2019-11-15 WO PCT/US2019/061780 patent/WO2020106581A1/en unknown
- 2019-11-15 CA CA3095205A patent/CA3095205C/en active Active
- 2019-11-15 BR BR112020020110-3A patent/BR112020020110A2/en unknown
- 2019-11-15 KR KR1020207028824A patent/KR102625762B1/en active IP Right Grant
- 2019-11-15 CN CN201980023127.6A patent/CN112970006B/en active Active
- 2019-11-15 KR KR1020247001245A patent/KR20240010548A/en active Application Filing
- 2019-11-15 SG SG11202009486PA patent/SG11202009486PA/en unknown
- 2019-11-15 EP EP19821339.9A patent/EP3884391A1/en active Pending
- 2019-11-15 JP JP2020552704A patent/JP7057437B2/en active Active
- 2019-11-15 CN CN202410310760.6A patent/CN118170695A/en active Pending
-
2022
- 2022-04-07 JP JP2022063945A patent/JP7494242B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3884391A1 (en) | 2021-09-29 |
| JP2022109919A (en) | 2022-07-28 |
| US20230033000A1 (en) | 2023-02-02 |
| KR102625762B1 (en) | 2024-01-16 |
| JP7494242B2 (en) | 2024-06-03 |
| US20200160150A1 (en) | 2020-05-21 |
| BR112020020110A2 (en) | 2021-05-25 |
| CA3095205A1 (en) | 2020-05-28 |
| CN112970006B (en) | 2024-04-09 |
| CN112970006A (en) | 2021-06-15 |
| JP7057437B2 (en) | 2022-04-19 |
| KR20240010548A (en) | 2024-01-23 |
| US11416733B2 (en) | 2022-08-16 |
| KR20200127028A (en) | 2020-11-09 |
| TW202341009A (en) | 2023-10-16 |
| WO2020106581A1 (en) | 2020-05-28 |
| JP2021525404A (en) | 2021-09-24 |
| CA3095205C (en) | 2023-05-02 |
| TW202020746A (en) | 2020-06-01 |
| TWI808219B (en) | 2023-07-11 |
| CN118170695A (en) | 2024-06-11 |
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