Suivre
Amaury Habrard
Amaury Habrard
Professor of Computer Science, University Jean Monnet of Saint-Etienne (France)
Adresse e-mail validée de univ-st-etienne.fr
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Année
Unsupervised visual domain adaptation using subspace alignment
B Fernando, A Habrard, M Sebban, T Tuytelaars
Proceedings of the IEEE international conference on computer vision, 2960-2967, 2013
13902013
Joint distribution optimal transportation for domain adaptation
N Courty, R Flamary, A Habrard, A Rakotomamonjy
Advances in neural information processing systems 30, 2017
11882017
A survey on metric learning for feature vectors and structured data
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1306.6709, 2013
8062013
Metric learning
A Bellet, A Habrard, M Sebban
Springer Nature, 2022
2422022
Methodology for efficient CNN architectures in profiling attacks
G Zaid, L Bossuet, A Habrard, A Venelli
IACR Transactions on Cryptographic Hardware and Embedded Systems, 1-36, 2020
1742020
Theoretical analysis of domain adaptation with optimal transport
I Redko, A Habrard, M Sebban
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
1562017
Advances in domain adaptation theory
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
Elsevier, 2019
1372019
Dict2vec: Learning word embeddings using lexical dictionaries
J Tissier, C Gravier, A Habrard
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1302017
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 738-746, 2013
1302013
Majority vote of diverse classifiers for late fusion
E Morvant, A Habrard, S Ayache
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014
1252014
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 2016
1202016
A survey on domain adaptation theory: learning bounds and theoretical guarantees
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
arXiv preprint arXiv:2004.11829, 2020
1062020
Robustness and generalization for metric learning
A Bellet, A Habrard
Neurocomputing 151, 259-267, 2015
992015
Subspace alignment for domain adaptation
B Fernando, A Habrard, M Sebban, T Tuytelaars
arXiv preprint arXiv:1409.5241, 2014
742014
Similarity learning for provably accurate sparse linear classification
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1206.6476, 2012
732012
A new PAC-Bayesian perspective on domain adaptation
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 859-868, 2016
652016
Efficient top rank optimization with gradient boosting for supervised anomaly detection
J Frery, A Habrard, M Sebban, O Caelen, L He-Guelton
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
602017
Near-lossless binarization of word embeddings
J Tissier, C Gravier, A Habrard
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7104-7111, 2019
582019
Good edit similarity learning by loss minimization
A Bellet, A Habrard, M Sebban
Machine Learning 89, 5-35, 2012
572012
Learning probabilistic models of tree edit distance
M Bernard, L Boyer, A Habrard, M Sebban
Pattern Recognition 41 (8), 2611-2629, 2008
552008
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