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Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability.

, , , , , and . ESEC/SIGSOFT FSE, page 1605-1609. ACM, (2022)

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On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality.. J. Mach. Learn. Res., (2009)OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis., , , , , , , , and . PLoS Comput. Biol., (2014)Bayesian Complex Network Community Detection Using Nonparametric Topic Model., and . COMPLEX NETWORKS (1), volume 812 of Studies in Computational Intelligence, page 280-291. Springer, (2018)An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples., , , , and . Reliab. Eng. Syst. Saf., (2024)Link Prediction Based on Sampled Single Vertices., , , and . ICAIS (1), volume 13338 of Lecture Notes in Computer Science, page 17-27. Springer, (2022)PeaTMOSS: Mining Pre-Trained Models in Open-Source Software., , , , , , , , and . CoRR, (2023)Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters., , , , , , , , and . ISSTA, page 1466-1478. ACM, (2024)Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions., , , , , , , , , and 1 other author(s). CoRR, (2024)Recommending Pre-Trained Models for IoT Devices., , , , , , , , , and . CoRR, (2024)Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency., and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)