Showing 1–20 of 45 results
/ Date/ Name
Jun 26, 2023Quality Issues in Machine Learning Software SystemsAug 31, 2023Effective Test Generation Using Pre-trained Large Language Models and Mutation TestingJul 26, 2021How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature ReviewJul 5, 2021Design Smells in Deep Learning Programs: An Empirical StudyMay 17, 2021Automatic Fault Detection for Deep Learning Programs Using Graph TransformationsJun 24, 2022Bugs in Machine Learning-based Systems: A Faultload BenchmarkAug 21, 2021A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional DataJul 20, 2021Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge TransferSep 9, 2021The challenge of reproducible ML: an empirical study on the impact of bugsDec 26, 2021Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlowOct 14, 2023Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical StudyJun 28, 2022An Empirical Study of Challenges in Converting Deep Learning ModelsAug 18, 2022Quality issues in Machine Learning Software SystemsNov 8, 2021On Assessing The Safety of Reinforcement Learning algorithms Using Formal MethodsJan 1, 2021Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection ApproachMar 13, 2024Bugs in Large Language Models Generated Code: An Empirical StudyJun 30, 2022GitHub Copilot AI pair programmer: Asset or Liability?Feb 24, 2022Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution AlgorithmsMay 6, 2023Detecting Concept Drift for the reliability prediction of Software Defects using Instance InterpretationOct 6, 2024Toward Debugging Deep Reinforcement Learning Programs with RLExplorer