Matt Hyatt
Orcid: 0000-0002-6356-6832
According to our database1,
Matt Hyatt
authored at least 33 papers
between 2021 and 2023.
Collaborative distances:
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Bibliography
2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM.
Dataset, February, 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM.
Dataset, February, 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM.
Dataset, February, 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM.
Dataset, February, 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
2022
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
2021