7 citations · 17 across the 7 of their papers we have counts for
3 papers · 1 filter
Robustness to Augmentations as a Generalization metric
Sumukh Aithal K, Dhruva Kashyap, Natarajan Subramanyam
Generalization is the ability of a model to predict on unseen domains and is a fundamental task in machine learning. Several generalization bounds, both theoretical and empirical h…
Surveillance of COVID-19 Pandemic using Hidden Markov Model
Shreekanth M. Prabhu, Natarajan Subramaniam
COVID-19 pandemic has brought the whole world to a stand-still over the last few months. In particular the pace at which pandemic has spread has taken everybody off-guard. The Gove…
Transfer Learning using Neural Ordinary Differential Equations
Rajath S, Sumukh Aithal K, Natarajan Subramanyam
A concept of using Neural Ordinary Differential Equations(NODE) for Transfer Learning has been introduced. In this paper we use the EfficientNets to explore transfer learning on CI…