Input Prioritization for Testing Neural Networks

11 January 2019

Papers citing "Input Prioritization for Testing Neural Networks"

8 / 8 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 14 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 23 36 0 15 Sep 2021
A Review and Refinement of Surprise Adequacy Michael Weiss Rwiddhi Chakraborty Paolo Tonella AAML AI4TS 19 16 0 10 Mar 2021
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 15 9 0 15 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 30 98 0 09 Feb 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 44 29 0 08 Feb 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 19 739 0 19 Jun 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015