41 citations · 98 across the 12 of their papers we have counts for
4 papers · 1 filter
Data-Driven Low-Rank Neural Network Compression
Dimitris Papadimitriou, Swayambhoo Jain
Despite many modern applications of Deep Neural Networks (DNNs), the large number of parameters in the hidden layers makes them unattractive for deployment on devices with storage…
Efficacy of Bayesian Neural Networks in Active Learning
Vineeth Rakesh, Swayambhoo Jain
Obtaining labeled data for machine learning tasks can be prohibitively expensive. Active learning mitigates this issue by exploring the unlabeled data space and prioritizing the se…
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
Several complex tasks that arise in organizations can be simplified by mapping them into a matrix completion problem. In this paper, we address a key challenge faced by our company…
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Despite their unprecedented performance in various domains, utilization of Deep Neural Networks (DNNs) in safety-critical environments is severely limited in the presence of even s…