86 citations · 286 across the 31 of their papers we have counts for
3 papers · 1 filter
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal, Matt J. Kusner, Adrià Gascón +1
Machine learning methods are widely used for a variety of prediction problems. \emph{Prediction as a service} is a paradigm in which service providers with technological expertise…
Robustness via Deep Low-Rank Representations
Amartya Sanyal, Varun Kanade, Philip H. S. Torr +1
We investigate the effect of the dimensionality of the representations learned in Deep Neural Networks (DNNs) on their robustness to input perturbations, both adversarial and rando…
Optimizing Non-decomposable Measures with Deep Networks
Amartya Sanyal, Pawan Kumar, Purushottam Kar +2
We present a class of algorithms capable of directly training deep neural networks with respect to large families of task-specific performance measures such as the F-measure and th…