Input Prioritization for Testing Neural Networks

11 January 2019

Papers citing "Input Prioritization for Testing Neural Networks"

6 / 6 papers shown

Title
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications Qunying Song Markus Borg Emelie Engström H. Ardö Sergio Rico 12 10 0 30 Mar 2022
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 10 36 0 15 Sep 2021
A Review and Refinement of Surprise Adequacy Michael Weiss Rwiddhi Chakraborty Paolo Tonella AAML AI4TS 11 16 0 10 Mar 2021
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 25 97 0 09 Feb 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 38 29 0 08 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015