no code implementations • 30 Apr 2021 • Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu
Interpretability of epidemiological models is a key consideration, especially when these models are used in a public health setting.
no code implementations • 23 Mar 2023 • Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
We leverage the idea that decoupling feature and classifier learning can lead to improved decision boundaries for label imbalanced datasets.