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Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.

H. Petzka, L. Adilova, M. Kamp, and C. Sminchisescu. CoRR, (2020)

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Making Efficient Use of a Domain Expert's Time in Relation Extraction.L. Adilova, S. Giesselbach, and S. Rüping. CoRR, (2018)Layerwise Linear Mode Connectivity.L. Adilova, A. Fischer, and M. Jaggi. CoRR, (2023)A Reparameterization-Invariant Flatness Measure for Deep Neural Networks.H. Petzka, L. Adilova, M. Kamp, and C. Sminchisescu. CoRR, (2019)FAM: Relative Flatness Aware Minimization.L. Adilova, A. Abourayya, J. Li, A. Dada, H. Petzka, J. Egger, J. Kleesiek, and M. Kamp. TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 37-49. PMLR, (2023)Visual Analytics for Human-Centered Machine Learning.N. Andrienko, G. Andrienko, L. Adilova, S. Wrobel, and T. Rhyne. IEEE Computer Graphics and Applications, 42 (1): 123-133 (2022)Information Plane Analysis for Dropout Neural Networks.L. Adilova, B. Geiger, and A. Fischer. ICLR, OpenReview.net, (2023)Introducing Noise in Decentralized Training of Neural Networks.L. Adilova, N. Paul, and P. Schlicht. DMLE/IOTSTREAMING@PKDD/ECML, volume 967 of Communications in Computer and Information Science, page 37-48. Springer, (2018)LDA Ensembles for Interactive Exploration and Categorization of Behaviors.S. Chen, N. Andrienko, G. Andrienko, L. Adilova, J. Barlet, J. Kindermann, P. Nguyen, O. Thonnard, and C. Turkay. IEEE Trans. Vis. Comput. Graph., 26 (9): 2775-2792 (2020)Approaches to Uncertainty Quantification in Federated Deep Learning.F. Linsner, L. Adilova, S. Däubener, M. Kamp, and A. Fischer. PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 128-145. Springer, (2021)Relative Flatness and Generalization.H. Petzka, M. Kamp, L. Adilova, C. Sminchisescu, and M. Boley. NeurIPS, page 18420-18432. (2021)

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Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.

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Disambiguation of "Adilova, Linara"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.

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Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.