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  • Sawant, Shriraj P.; Singh, Shruti (Cornell University Library, 2020-12)
    Attention is a complex and broad concept, studied across multiple disciplines spanning artificial intelligence, cognitive science, psychology, neuroscience, and related fields. Although many of the ideas regarding attention ...
  • Sawant, Shriraj P.; Singh, Shruti (2020-12)
  • Chhaya, Rachit; Choudhari, Jayesh; Dasgupta, Anirban; Shit, Supratim (Cornell University Library, 2020-12)
    We present algorithms that create coresets in an online setting for clustering problems according to a wide subset of Bregman divergences. Notably, our coresets have a small additive error, similar in magnitude to the ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy would be to define an object map between ...
  • Qi, Shixiong; Kulkarni; Sameer G.; Ramakrishnan, K. K. (Institute of Electrical and Electronics Engineers, 2020-12)
    Kubernetes, an open-source container orchestration platform, has been widely adopted by cloud service providers (CSPs) for its advantages in simplifying container deployment, scalability, and scheduling. Networking is one ...

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