6 Publications

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[6]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
[Preprint] View | DOI | Download Preprint (ext.)
 
[5]
2015 | Thesis | IST-REx-ID: 1401 | OA
Sharmanska, Viktoriia. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. Institute of Science and Technology Austria, 2015, doi:10.15479/at:ista:1401.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[4]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
[Submitted Version] View | Download Submitted Version (ext.)
 
[3]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[2]
2013 | Conference Paper | IST-REx-ID: 2520 | OA
Quadrianto, Novi, et al. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–36.
[Submitted Version] View | Files available
 
[1]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska, Viktoriia, et al. Augmented Attribute Representations. Vol. 7576, no. PART 5, Springer, 2012, pp. 242–55, doi:10.1007/978-3-642-33715-4_18.
[Submitted Version] View | Files available | DOI
 

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6 Publications

Mark all

[6]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
[Preprint] View | DOI | Download Preprint (ext.)
 
[5]
2015 | Thesis | IST-REx-ID: 1401 | OA
Sharmanska, Viktoriia. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. Institute of Science and Technology Austria, 2015, doi:10.15479/at:ista:1401.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[4]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
[Submitted Version] View | Download Submitted Version (ext.)
 
[3]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[2]
2013 | Conference Paper | IST-REx-ID: 2520 | OA
Quadrianto, Novi, et al. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–36.
[Submitted Version] View | Files available
 
[1]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska, Viktoriia, et al. Augmented Attribute Representations. Vol. 7576, no. PART 5, Springer, 2012, pp. 242–55, doi:10.1007/978-3-642-33715-4_18.
[Submitted Version] View | Files available | DOI
 

Search

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Citation Style: MLA

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