Analysis of Model Compression Using Knowledge Distillation
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DOI: 10.1109/access.2022.3197608
Abstract: In the development of deep learning, several convolution neural network (CNN) models are designed to solve various tasks. However, these CNN models are complex and cumbersome to achieve state-of-the-art performance. The current CNN models remain… read more here.
Keywords: compression; using knowledge; knowledge distillation; model ... See more keywords
Using Knowledge Graphs to Plausibly Infer Missing Associations in EMR Data
Sign Up to like & getrecommendations! Published in 2021 at "Studies in health technology and informatics"
DOI: 10.3233/shti210192
Abstract: Electronic Medical Records (EMRs) are increasingly being deployed at primary points of care and clinics for digital record keeping, increasing productivity and improving communication. In practice, however, there still exists an often incomplete picture of… read more here.
Keywords: plausibly infer; using knowledge; infer missing; knowledge graphs ... See more keywords