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88 Publications

2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
View | DOI | Download Published Version (ext.)
 
2016 | Thesis | IST-REx-ID: 1126 | OA
Pentina A. 2016. Theoretical foundations of multi-task lifelong learning, IST Austria, 127p.
View | Files available | DOI
 
2015 | Journal Article | IST-REx-ID: 1570 | OA
Der R, Martius GS. 2015. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 112(45), E6224–E6232.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
2015 | Journal Article | IST-REx-ID: 1655 | OA
Martius GS, Olbrich E. 2015. Quantifying emergent behavior of autonomous robots. Entropy. 17(10), 7266–7297.
View | Files available | DOI
 
2015 | Conference Paper | IST-REx-ID: 1706 | OA
Pentina A, Ben David S. 2015. Multi-task and lifelong learning of kernels. ALT: Algorithmic Learning Theory, LNCS, vol. 9355. 194–208.
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2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition 5492–5500.
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2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition 942–950.
View | DOI | Download Preprint (ext.) | arXiv
 
2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition 2737–2745.
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2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition 1401–1409.
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska V. 2015. Learning with attributes for object recognition: Parametric and non-parametrics views, IST Austria, 144p.
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