NETWORK-LIGHTWEIGHT MODEL FOR MULTI DEEP-LEARNING TASKS
A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a plurality of predetermined machine learning tasks is received. One or more steps of the machine learning tasks associated with the received...
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Format | Patent |
Language | English |
Published |
13.06.2024
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Online Access | Get full text |
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Abstract | A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a plurality of predetermined machine learning tasks is received. One or more steps of the machine learning tasks associated with the received data is performed on the received data by a shared backbone of a machine learning model. The predetermined plurality of machine learning tasks is completed on the received data by a plurality of sub-networks associated with each of the plurality of predetermined machine learning tasks. |
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AbstractList | A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a plurality of predetermined machine learning tasks is received. One or more steps of the machine learning tasks associated with the received data is performed on the received data by a shared backbone of a machine learning model. The predetermined plurality of machine learning tasks is completed on the received data by a plurality of sub-networks associated with each of the plurality of predetermined machine learning tasks. |
Author | Luo, Deng Xin Jia, Zhi Yong Yang, Xiang Yu Wang, Yu Ying YY Nan, Chi Wang, Yong |
Author_xml | – fullname: Wang, Yong – fullname: Luo, Deng Xin – fullname: Wang, Yu Ying YY – fullname: Yang, Xiang Yu – fullname: Nan, Chi – fullname: Jia, Zhi Yong |
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Snippet | A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
Title | NETWORK-LIGHTWEIGHT MODEL FOR MULTI DEEP-LEARNING TASKS |
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