83 citations · 164 across the 4 of their papers we have counts for
3 papers · 1 filter
Building robust classifiers through generation of confident out of distribution examples
Kumar Sricharan, Ashok Srivastava
Deep learning models are known to be overconfident in their predictions on out of distribution inputs. There have been several pieces of work to address this issue, including a num…
Improving robustness of classifiers by training against live traffic
Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava
Deep learning models are known to be overconfident in their predictions on out of distribution inputs. This is a challenge when a model is trained on a particular input dataset, bu…
Semi-supervised Conditional GANs
Kumar Sricharan, Raja Bala, Matthew Shreve +3
We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework. The…