Valentina Zantedeschi
Valentina Zantedeschi
PhD Student, Lab. Hubert Curien, France
Verified email at univ-st-etienne.fr - Homepage
Title
Cited by
Cited by
Year
Efficient defenses against adversarial attacks
V Zantedeschi, MI Nicolae, A Rawat
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
1212017
Adversarial Robustness Toolbox v0. 4.0
MI Nicolae, M Sinn, MN Tran, A Rawat, M Wistuba, V Zantedeschi, ...
arXiv preprint arXiv:1807.01069, 2018
412018
Metric learning as convex combinations of local models with generalization guarantees
V Zantedeschi, R Emonet, M Sebban
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
92016
Fast and provably effective multi-view classification with landmark-based svm
V Zantedeschi, R Emonet, M Sebban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
42018
Beta-risk: a new surrogate risk for learning from weakly labeled data
V Zantedeschi, R Emonet, M Sebban
Advances in Neural Information Processing Systems, 4365-4373, 2016
32016
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
V Zantedeschi, A Bellet, M Tommasi
22019
L-SVMs: Landmarks-based Linear Local Support Vectors Machines
V Zantedeschi, R Emonet, M Sebban
arXiv preprint arXiv:1703.00284, 2017
22017
Apprentissage de combinaisons convexes de métriques locales avec garanties de généralisation
V Zantedeschi, R Emonet, M Sebban
12016
Lipschitz continuity of mahalanobis distances and bilinear forms
V Zantedeschi, R Emonet, M Sebban
arXiv preprint arXiv:1604.01376, 2016
12016
Cumulo: A Dataset for Learning Cloud Classes
V Zantedeschi, F Falasca, A Douglas, R Strange, MJ Kusner, ...
Tackling Climate Change with Machine Learning, NeurIPS 2019 Workshop, 2019
2019
Revisite des" random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts
L Gautheron, P Germain, A Habrard, G Letarte, E Morvant, M Sebban, ...
2019
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting
L Gautheron, P Germain, A Habrard, E Morvant, M Sebban, ...
arXiv preprint arXiv:1906.06203, 2019
2019
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph
V Zantedeschi, A Bellet, M Tommasi
arXiv preprint arXiv:1901.08460, 2019
2019
A Unified View of Local Learning: Theory and Algorithms for Enhancing Linear Models
V Zantedeschi
2018
Communication-Efficient Decentralized Boosting while Discovering the Collaboration Graph
V Zantedeschi, A Bellet, M Tommasi
2018
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