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An On-device Deep-Learning Approach for Attribute Extraction from Heterogeneous Unstructured Text
From purchase deliveries in Short Message Service (SMS) or Notifications, to event booking details in Calendar applications, mobile devices serve as a portal for understanding user interests, behaviours and activities through information extraction.
Image Generation and Editing with Variational Info Generative AdversarialNetworks
We evaluate our model on Labeled Faces in the Wild (LFW), celebA and a modified version of MNIST datasets and demonstrate the ability of our model to generate new images as well as to modify a given image by changing attributes.
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