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Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.

L. Zhang, P. Germain, Y. Kessaci, and C. Biernacki. Neurocomputing, (2022)

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Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

Other publications of authors with the same name

A PAC-Bayes Sample-compression Approach to Kernel Methods.P. Germain, A. Lacoste, F. Laviolette, M. Marchand, and S. Shanian. ICML, page 297-304. Omnipress, (2011)A Greedy Algorithm for Building Compact Binary Activated Neural Networks.B. Leblanc, and P. Germain. CoRR, (2022)Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.L. Gautheron, P. Germain, A. Habrard, G. Metzler, E. Morvant, M. Sebban, and V. Zantedeschi. ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 141-157. Springer, (2020)PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations.L. Fortier-Dubois, B. Leblanc, G. Letarte, F. Laviolette, and P. Germain. Canadian AI, Canadian Artificial Intelligence Association, (2023)A PAC-Bayes Risk Bound for General Loss Functions.P. Germain, A. Lacasse, F. Laviolette, and M. Marchand. NIPS, page 449-456. MIT Press, (2006)From PAC-Bayes Bounds to KL Regularization.P. Germain, A. Lacasse, F. Laviolette, M. Marchand, and S. Shanian. NIPS, page 603-610. Curran Associates, Inc., (2009)Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.V. Zantedeschi, P. Viallard, E. Morvant, R. Emonet, A. Habrard, P. Germain, and B. Guedj. NeurIPS, page 455-467. (2021)Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models.L. Zhang, P. Germain, Y. Kessaci, and C. Biernacki. AAAI, page 9057-9065. AAAI Press, (2022)PAC-Bayesian Contrastive Unsupervised Representation LearningK. Nozawa, P. Germain, and B. Guedj. (2019)cite arxiv:1910.04464Comment: 16 pages.Target to Source Coordinate-Wise Adaptation of Pre-trained Models.L. Zhang, P. Germain, Y. Kessaci, and C. Biernacki. ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 378-394. Springer, (2020)

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Disambiguation of "Germain, Pascal"

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Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.

Please choose a person to relate this publication to

Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

Other publications of authors with the same name

Disambiguierung

BibSonomy

Disambiguation of "Germain, Pascal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.

Please choose a person to relate this publication to

Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

Other publications of authors with the same name

Disambiguierung

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.