Understanding Performance Problems in Deep Learning Systems

3 December 2021

Papers citing "Understanding Performance Problems in Deep Learning Systems"

8 / 8 papers shown

Title
Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries Saeid Tizpaz-Niari Pavol Cerný Ashutosh Trivedi 26 24 0 03 Jun 2020
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 81 267 0 24 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 57 123 0 15 Sep 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 746 0 19 Jun 2019
A Comprehensive Study on Deep Learning Bug Characteristics Md Johirul Islam Giang Nguyen Rangeet Pan Hridesh Rajan ELM 44 299 0 03 Jun 2019
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 65 620 0 20 Mar 2018
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 59 1,356 0 28 Aug 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 243 8,821 0 01 Oct 2015