2 code implementations • 6 Mar 2021 • Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava
Our work highlights several novel perspectives and opportunities for implementing randomized algorithms for deep learning on modern CPUs.
no code implementations • 1 Jan 2021 • Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
Softmax classifiers with a very large number of classes naturally occur in many applications such as natural language processing and information retrieval.
no code implementations • 31 Dec 2020 • Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
Unfortunately, due to the dynamically updated parameters and data samples, there is no sampling scheme that is provably adaptive and samples the negative classes efficiently.
no code implementations • 10 Sep 2019 • Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava
Zero-Shot Learning (ZSL) is a classification task where we do not have even a single training labeled example from a set of unseen classes.