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Towards Understanding the Faults of JavaScript-Based Deep Learning Systems.

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CodeS: Towards Code Model Generalization Under Distribution Shift., , , , , , and . ICSE (NIER), page 1-6. IEEE, (2023)Audee: Automated Testing for Deep Learning Frameworks., , , , , , and . ASE, page 486-498. IEEE, (2020)TransRepair: Context-aware Program Repair for Compilation Errors., , , , , , and . ASE, page 108:1-108:13. ACM, (2022)Towards Understanding the Faults of JavaScript-Based Deep Learning Systems., , , , , and . ASE, page 105:1-105:13. ACM, (2022)An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms., , , , , , , , and . ASE, page 810-822. IEEE, (2019)A Quantitative Analysis Framework for Recurrent Neural Network., , , , , and . ASE, page 1062-1065. IEEE, (2019)DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices., , , , , , and . ACM Multimedia, page 1207-1216. ACM, (2020)Demystifying Performance Regressions in String Solvers., , , , , , and . IEEE Trans. Software Eng., 49 (3): 947-961 (March 2023)An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms., , , , , , , , and . CoRR, (2018)ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs., , , , , and . CoRR, (2024)