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On the Lack of Robust Interpretability of Neural Text Classifiers.

M. Zafar, M. Donini, D. Slack, C. Archambeau, S. Das, and K. Kenthapadi. ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3730-3740. Association for Computational Linguistics, (2021)

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Michele Galletti

Michele Ocken

Michele Ferrari

Hannelore Michele

Michèle Mattusch

Other publications of authors with the same name

Taking Advantage of Multitask Learning for Fair Classification.L. Oneto, M. Donini, A. Elders, and M. Pontil. CoRR, (2018)Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.V. Perrone, H. Shen, A. Zolic, I. Shcherbatyi, A. Ahmed, T. Bansal, M. Donini, F. Winkelmolen, R. Jenatton, J. Faddoul and 5 other author(s). CoRR, (2020)Fortuna: A Library for Uncertainty Quantification in Deep Learning.G. Detommaso, A. Gasparin, M. Donini, M. Seeger, A. Wilson, and C. Archambeau. CoRR, (2023)On the Lack of Robust Interpretability of Neural Text Classifiers.M. Zafar, M. Donini, D. Slack, C. Archambeau, S. Das, and K. Kenthapadi. ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3730-3740. Association for Computational Linguistics, (2021)Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.V. Perrone, H. Shen, A. Zolic, I. Shcherbatyi, A. Ahmed, T. Bansal, M. Donini, F. Winkelmolen, R. Jenatton, J. Faddoul and 5 other author(s). KDD, page 3463-3471. ACM, (2021)On Hyperparameter Optimization in Learning Systems.L. Franceschi, M. Donini, P. Frasconi, and M. Pontil. ICLR (Workshop), OpenReview.net, (2017)Marthe: Scheduling the Learning Rate Via Online Hypergradients.M. Donini, L. Franceschi, O. Majumder, M. Pontil, and P. Frasconi. IJCAI, page 2119-2125. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Learning Fair and Transferable Representations with Theoretical Guarantees.L. Oneto, M. Donini, M. Pontil, and A. Maurer. DSAA, page 30-39. IEEE, (2020)Forward and Reverse Gradient-Based Hyperparameter Optimization.L. Franceschi, M. Donini, P. Frasconi, and M. Pontil. ICML, volume 70 of Proceedings of Machine Learning Research, page 1165-1173. PMLR, (2017)Learning Anisotropic RBF Kernels.F. Aiolli, and M. Donini. ICANN, volume 8681 of Lecture Notes in Computer Science, page 515-522. Springer, (2014)

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Disambiguation of "Donini, Michele"

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On the Lack of Robust Interpretability of Neural Text Classifiers.

Please choose a person to relate this publication to

Michele Galletti

Michele Ocken

Michele Ferrari

Hannelore Michele

Michèle Mattusch

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Donini, Michele"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the Lack of Robust Interpretability of Neural Text Classifiers.

Please choose a person to relate this publication to

Michele Galletti

Michele Ocken

Michele Ferrari

Hannelore Michele

Michèle Mattusch

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

On the Lack of Robust Interpretability of Neural Text Classifiers.