Towards Enhancing the Reproducibility of Deep Learning Bugs: An
Empirical Study

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Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study

5 January 2024

Mohammad Masudur Rahman

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Papers citing "Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study"

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Title
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 68 21 0 24 Jun 2022
Towards Training Reproducible Deep Learning Models Boyuan Chen Mingzhi Wen Yong Shi Dayi Lin Gopi Krishnan Rajbahadur Zhen Ming Z. Jiang SyDa 52 37 0 04 Feb 2022
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow Florian Tambon Amin Nikanjam Le An Foutse Khomh G. Antoniol 51 39 0 26 Dec 2021
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 112 272 0 24 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,332 0 27 Aug 2019
A Comprehensive Study on Deep Learning Bug Characteristics Md Johirul Islam Giang Nguyen Rangeet Pan Hridesh Rajan ELM 53 306 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 78 624 0 20 Mar 2018
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 109 1,375 0 18 May 2017
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 220 1,595 0 09 Mar 2015
Efficient System-Enforced Deterministic Parallelism Amittai Aviram Shu-Chun Weng Sen Hu Bryan Ford 87 219 0 19 May 2010