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Deep Learning for Functional Data Analysis with Adaptive Basis Layers.

J. Yao, J. Mueller, и J. Wang. ICML, том 139 из Proceedings of Machine Learning Research, стр. 11898-11908. PMLR, (2021)

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Christoph Mueller

Erik Mueller

Philipp Mueller

Wilhelm Mueller

Henny Mueller

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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.J. Chen, J. Mueller, V. Ioannidis, S. Adeshina, Y. Wang, T. Goldstein, и D. Wipf. ICLR, OpenReview.net, (2022)Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles.S. Jain, G. Liu, J. Mueller, и D. Gifford. AAAI, стр. 4264-4271. AAAI Press, (2020)AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.N. Erickson, J. Mueller, A. Shirkov, H. Zhang, P. Larroy, M. Li, и A. Smola. CoRR, (2020)ActiveLab: Active Learning with Re-Labeling by Multiple Annotators.H. Goh, и J. Mueller. CoRR, (2023)ResNeSt: Split-Attention Networks.H. Zhang, C. Wu, Z. Zhang, Y. Zhu, Z. Zhang, H. Lin, Y. Sun, T. He, J. Mueller, R. Manmatha и 2 other автор(ы). CoRR, (2020)Detecting Errors in Numerical Data via any Regression Model.H. Zhou, J. Mueller, M. Kumar, J. Wang, и J. Lei. CoRR, (2023)What made you do this? Understanding black-box decisions with sufficient input subsets.B. Carter, J. Mueller, S. Jain, и D. Gifford. CoRR, (2018)Overinterpretation reveals image classification model pathologies.B. Carter, S. Jain, J. Mueller, и D. Gifford. CoRR, (2020)Benchmarking Multimodal AutoML for Tabular Data with Text Fields.X. Shi, J. Mueller, N. Erickson, M. Li, и A. Smola. NeurIPS Datasets and Benchmarks, (2021)Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.C. Northcutt, A. Athalye, и J. Mueller. NeurIPS Datasets and Benchmarks, (2021)

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