Boosting Operational DNN Testing Efficiency through Conditioning

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Boosting Operational DNN Testing Efficiency through Conditioning

6 June 2019

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Papers citing "Boosting Operational DNN Testing Efficiency through Conditioning"

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Title
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 95 0 0 15 Oct 2024
AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling Yuheng Huang Jiayang Song Qiang Hu Felix Juefei Xu Lei Ma 84 4 0 07 Aug 2024
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma Mike Papadakis Yves Le Traon MQ 68 2 0 08 Apr 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 99 45 0 20 Dec 2021
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models Yuejun Guo Qiang Hu Maxime Cordy Mike Papadakis Yves Le Traon VLM OOD 58 4 0 05 Dec 2021
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance Yizhen Dong Wei Huang Vibhav Bharti V. Cox Alec Banks Sen Wang Xingyu Zhao S. Schewe Xiaowei Huang 72 16 0 30 Nov 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories Fait Poms Vishnu Sarukkai Ravi Teja Mullapudi N. Sohoni W. Mark Deva Ramanan Kayvon Fatahalian 48 9 0 13 Sep 2021
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles Xingyu Zhao Wei Huang Alec Banks V. Cox David Flynn S. Schewe Xiaowei Huang AAML UQCV 82 21 0 02 Jun 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 90 133 0 14 Dec 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 73 42 0 07 Nov 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations Ziyuan Zhong Yuchi Tian Baishakhi Ray AAML 61 1 0 09 Oct 2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring Zhihui Shao Jianyi Yang Shaolei Ren HILM 68 10 0 03 Jul 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 69 30 0 03 Feb 2020
Operational Calibration: Debugging Confidence Errors for DNNs in the Field Zenan Li Xiaoxing Ma Chang Xu Jingwei Xu Chun Cao Jian Lu 58 28 0 06 Oct 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 101 756 0 19 Jun 2019