2 papers
stat.ML2018
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…
stat.ML2018
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…