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
11922013
Joint distribution optimal transportation for domain adaptation
N Courty, R Flamary, A Habrard, A Rakotomamonjy
Advances in Neural Information Processing Systems 30, 2017
8562017
A survey on metric learning for feature vectors and structured data
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1306.6709, 2013
7362013
Metric learning
A Bellet, A Habrard, M Sebban
Synthesis lectures on artificial intelligence and machine learning 9 (1), 1-151, 2015
1892015
Methodology for efficient CNN architectures in profiling attacks
G Zaid, L Bossuet, A Habrard, A Venelli
IACR Transactions on Cryptographic Hardware and Embedded Systems 2020 (1), 1-36, 2020
1142020
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
1092013
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
1002017
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 2016
972016
Theoretical analysis of domain adaptation with optimal transport
I Redko, A Habrard, M Sebban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
962017
Majority vote of diverse classifiers for late fusion
E Morvant, A Habrard, S Ayache
Joint IAPR international workshops on statistical techniques in pattern …, 2014
832014
Robustness and generalization for metric learning
A Bellet, A Habrard
Neurocomputing 151, 259-267, 2015
752015
Advances in domain adaptation theory
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
Elsevier, 2019
722019
Similarity learning for provably accurate sparse linear classification
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1206.6476, 2012
672012
Subspace alignment for domain adaptation
B Fernando, A Habrard, M Sebban, T Tuytelaars
arXiv preprint arXiv:1409.5241, 2014
602014
Learning probabilistic models of tree edit distance
M Bernard, L Boyer, A Habrard, M Sebban
Pattern Recognition 41 (8), 2611-2629, 2008
532008
Good edit similarity learning by loss minimization
A Bellet, A Habrard, M Sebban
Machine Learning 89 (1), 5-35, 2012
522012
A new PAC-Bayesian perspective on domain adaptation
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 859-868, 2016
512016
A polynomial algorithm for the inference of context free languages
A Clark, R Eyraud, A Habrard
International Colloquium on Grammatical Inference, 29-42, 2008
492008
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
462019
Regressive virtual metric learning
M Perrot, A Habrard
Advances in neural information processing systems 28, 2015
462015
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