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Memory Efficient, Multi-Domain On-Device Machine Learning
­One practical limitation of deep neural network (DNN) is its high degree of specialization to a single task or domain (e.g., one visual domain). This motivates the development of algorithms that can adapt DNN model to multiple domains sequentially while still performing well on past domains. This is known as multi-domain learning. Conventional...
Published: 2/23/2023   |   Inventor(s): Li Yang, Deliang Fan, Adnan Siraj Rakin
Keywords(s): Algorithm Development, Artificial Intelligence, Machine Learning, On-device learning, PS-Computing and Information Technology
Category(s): Physical Science, Computing & Information Technology