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Few-shot learning of repetitive human tasks

Номер патента: US20210192278A1
Опубликовано: 24-06-2021
Автор(ы): Huan Song, LIU Ren
Принадлежит: ROBERT BOSCH GMBH
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

FEW-SHOT LEARNING OF REPETITIVE HUMAN TASKS

Номер патента: US20210192278A1. Автор: Ren Liu,Song Huan. Владелец: . Дата публикации: 2021-06-24.

Knowledge graph reasoning model, system, and reasoning method based on bayesian few-shot learning

Номер патента: US20230351153A1. Автор: Cheng Yan,Feng Zhao,Hai Jin. Владелец: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY. Дата публикации: 2023-11-02.

Method and apparatus for online bayesian few-shot learning

Номер патента: US20210398004A1. Автор: Hyun Woo Kim,Ran HAN,Jeon Gue Park,Hwa Jeon Song,Eui Sok Chung,Gyeong Moon PARK,Byung Hyun Yoo. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2021-12-23.

Task-adaptive architecture for few-shot learning

Номер патента: US20220172036A1. Автор: Leonid KARLINSKY,Eliyahu Schwartz,Sivan Doveh. Владелец: International Business Machines Corp. Дата публикации: 2022-06-02.

Method for few-shot learning and apparatus for executing the method

Номер патента: US11410045B2. Автор: Joonho Lee,SooAh Cho,JoonSeok Lee. Владелец: Samsung SDS Co Ltd. Дата публикации: 2022-08-09.

Method for few-shot learning and apparatus for executing the method

Номер патента: US20210365788A1. Автор: Joonho Lee,SooAh Cho,JoonSeok Lee. Владелец: Samsung SDS Co Ltd. Дата публикации: 2021-11-25.

Method and system for surface defect detection based on few-shot learning

Номер патента: US20240362762A1. Автор: Yue Tian,Xingyu Chen,Hongqi Zhang,Liangxi CHEN. Владелец: CETC 38 Research Institute. Дата публикации: 2024-10-31.

Systems and methods for graph prototypical networks for few-shot learning on attributed networks

Номер патента: US20230117980A1. Автор: Huan LIU,Kaize Ding,Jianling Wang. Владелец: Arizona State University ASU. Дата публикации: 2023-04-20.

Few-Shot Learning and Machine-Learned Model for Disease Classification

Номер патента: US20220093270A1. Автор: Puneet Sharma,Lucian Mihai Itu,Andrei Bogdan Gheorghita,Costin Florian Ciusdel,Teodora Chitiboi. Владелец: Siemens Healthcare GmbH. Дата публикации: 2022-03-24.

Few-shot learning for multi- task recommendation systems

Номер патента: US20220300804A1. Автор: Lan GUAN,Christopher Yen-Chu Chan,Jayashree Subrahmonia,Guanglei Xiong,Sukryool Kang,Anwitha Paruchuri,Aaron James Sander,Wenxian Zhang. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2022-09-22.

Few-shot learning for multi- task recommendation systems

Номер патента: AU2022201870A1. Автор: Lan GUAN,Christopher Yen-Chu Chan,Jayashree Subrahmonia,Guanglei Xiong,Sukryool Kang,Anwitha Paruchuri,Aaron James Sander,Wenxian Zhang. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2022-10-06.

Automated few-shot learning techniques for artificial intelligence-based query answering systems

Номер патента: WO2023111748A1. Автор: Vishwajeet Kumar,Jaydeep Sen,Samarth Bharadwaj,Saneem Ahmed Chemmengath. Владелец: Ibm (China) Investment Company Ltd. Дата публикации: 2023-06-22.

Task Augmentation and Self-Training for Improved Few-Shot Learning

Номер патента: US20220383206A1. Автор: Quoc V. Le,Thang Minh Luong,Tu Thanh Vu,Grady Hayes Simon. Владелец: Google LLC. Дата публикации: 2022-12-01.

Modular adaptation for cross-domain few-shot learning

Номер патента: US20220414476A1. Автор: XIAO LIN,Ajay Divakaran,Yi Yao,Meng Ye,Yunye Gong,Giedrius T. BURACHAS,Nikoletta BASIOU. Владелец: SRI International Inc. Дата публикации: 2022-12-29.

Multimodal few-shot learning with frozen language models

Номер патента: AU2022288746B2. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-07-18.

Multimodal few-shot learning with frozen language models

Номер патента: US20240282094A1. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-08-22.

Method for continual few-shot learning and user equipment

Номер патента: TW202209196A. Автор: 王思佳,哈米 莫斯塔法 伊爾,崔裕鎭,正元 李. Владелец: 南韓商三星電子股份有限公司. Дата публикации: 2022-03-01.

Multimodal few-shot learning with frozen language models

Номер патента: IL307517A. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: Maria Rafailia TSIMPOUKELLI. Дата публикации: 2023-12-01.

Multimodal few-shot learning with frozen language models

Номер патента: CA3214735A1. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Ltd. Дата публикации: 2022-12-15.

Multimodal few-shot learning with frozen language models

Номер патента: AU2022288746A1. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Ltd. Дата публикации: 2023-09-28.

Multimodal few-shot learning with frozen language models

Номер патента: EP4302239A1. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-01-10.

Multimodal few-shot learning with frozen language models

Номер патента: WO2022258666A1. Автор: Seyed Mohammadali Eslami,Serkan CABI,Oriol Vinyals,Jacob Lee Menick,Felix George Hill,Maria Rafailia TSIMPOUKELLI. Владелец: DeepMind Technologies Limited. Дата публикации: 2022-12-15.

Method of generalized balanced few-shot learning using only novel data without old data

Номер патента: US20240135250A1. Автор: Seong Woong Kim,DongWan Choi. Владелец: Inha University Research and Business Foundation. Дата публикации: 2024-04-25.

Improved fine-tuning strategy for few shot learning

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Two-dimensional Symbols For Machine Learning Of Written Chinese Language Using "pinyin" Letters

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Image processing apparatus that performs machine learning of learning model, method of controlling image processing apparatus, and storage medium

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Information processing apparatus that performs machine learning of learning model, learning method, and storage medium

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Method for leveraging shape information in few-shot learning in artificial neural networks

Номер патента: EP4354319A1. Автор: Elahe Arani,Shruthi Gowda,Bahram Zonooz,Deepan Chakravarthi Padmanabhan. Владелец: Navinfo Europe BV. Дата публикации: 2024-04-17.

Method for Leveraging Shape Information in Few-shot Learning in artificial neural networks

Номер патента: NL2034110A. Автор: Arani Elahe,Zonooz Bahram,Gowda Shruthi,Chakravarthi Padmanabhan Deepan. Владелец: Navinfo Europe B V. Дата публикации: 2024-04-18.

Method for leveraging shape information in few-shot learning in artificial neural networks

Номер патента: US20240135722A1. Автор: Elahe Arani,Shruthi Gowda,Bahram Zonooz,Deepan Chakravarthi Padmanabhan. Владелец: Navinfo Europe BV. Дата публикации: 2024-04-25.

Data processing apparatus by learning of neural network, data processing method by learning of neural network, and recording medium recording the data processing method

Номер патента: US11741356B2. Автор: Jun Seo,Jaekyun Moon,Sung Whan YOON. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2023-08-29.

Computer-implemented method for continual learning of multiple tasks sequentially using a deep neural network together with a plurality of task-attention modules

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Method and device for calibrating physics engine of virtual world simulator to be used for learning of deep learning-based device, and a learning method and learning device for real state network used therefor

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Systems and methods for contrastive learning of visual representations

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A computer-implemented method for continual learning of multiple tasks sequentially using a deep neural network together with a plurality of task-attention modules

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FEW-SHOT LEARNING FOR MULTI- TASK RECOMMENDATION SYSTEMS

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Method and apparatus for online bayesian few-shot learning

Номер патента: KR102564285B1. Автор: 김현우,정의석,유병현,박전규,송화전,박경문,한란. Владелец: 한국전자통신연구원. Дата публикации: 2023-08-08.

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TASK-ADAPTIVE ARCHITECTURE FOR FEW-SHOT LEARNING

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System and method for few-shot learning

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Multi-modal few-shot learning device for user identification using walking pattern based on deep learning ensemble

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Номер патента: WO2023048807A1. Автор: Ming Gong,Daxin Jiang,Linjun SHOU,Xingyao Zhang. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2023-03-30.

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Few-shot learning for processing microscopy images

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Medical coding with biomedical transformer ensembles and few-shot learning

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Preprocessing device and method for incremental learning of classifier with varying feature space

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Adaptable Automated Interpretation of Rapid Diagnostic Tests Using Self-Supervised Learning and Few-Shot Learning

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Transfer learning of convolutional neural networks from visible color (rbg)to infrared (ir) domain

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System and method for the detection and counting of repetitions of repetitive activity via a trained network

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Systems and methods for identification of repetitive language in document using linguistic analysis and correction thereof

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Customizable reinforcement learning of column placement in structural design

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System and method of machine learning of malware detection model

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