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133 Publications

2017 | Published | Conference Paper | IST-REx-ID: 911 | OA
A. Royer, A. Kolesnikov, and C. Lampert, “Probabilistic image colorization,” presented at the BMVC: British Machine Vision Conference, London, United Kingdom, 2017, p. 85.1-85.12.
[Published Version] View | Files available | DOI | arXiv
 
2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
A. Kolesnikov and C. Lampert, “PixelCNN models with auxiliary variables for natural image modeling,” in 34th International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
A. Zimin and C. Lampert, “Learning theory for conditional risk minimization,” presented at the AISTATS: Artificial Intelligence and Statistics, Fort Lauderdale, FL, United States, 2017, vol. 54, pp. 213–222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
2017 | Published | Conference Paper | IST-REx-ID: 6841 | OA
G. S. Martius and C. Lampert, “Extrapolation and learning equations,” in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, Toulon, France, 2017.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2017 | Published | Conference Paper | IST-REx-ID: 999 | OA
A. Pentina and C. Lampert, “Multi-task learning with labeled and unlabeled tasks,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 2807–2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
2017 | Published | Conference Paper | IST-REx-ID: 998 | OA
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2017 | Published | Journal Article | IST-REx-ID: 658 | OA
R. Der and G. S. Martius, “Self organized behavior generation for musculoskeletal robots,” Frontiers in Neurorobotics, vol. 11, no. MAR. Frontiers Research Foundation, 2017.
[Published Version] View | Files available | DOI | WoS
 
2016 | Published | Conference Paper | IST-REx-ID: 1707
J. Pielorz and C. Lampert, “Optimal geospatial allocation of volunteers for crisis management,” presented at the ICT-DM: Information and Communication Technologies for Disaster Management, Rennes, France, 2016.
View | DOI
 
2016 | Published | Conference Paper | IST-REx-ID: 1214
G. S. Martius, R. Hostettler, A. Knoll, and R. Der, “Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm,” presented at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS , Daejeon, Korea, 2016, vol. 2016–November.
View | DOI
 
2016 | Published | Thesis | IST-REx-ID: 1126 | OA
A. Pentina, “Theoretical foundations of multi-task lifelong learning,” Institute of Science and Technology Austria, 2016.
[Published Version] View | Files available | DOI
 
2016 | Published | Conference Paper | IST-REx-ID: 1102 | OA
A. Kolesnikov and C. Lampert, “Improving weakly-supervised object localization by micro-annotation,” in Proceedings of the British Machine Vision Conference 2016, York, United Kingdom, 2016, vol. 2016–September, p. 92.1-92.12.
[Published Version] View | DOI | Download Published Version (ext.)
 
2016 | Published | Conference Paper | IST-REx-ID: 1098 | OA
A. Pentina and R. Urner, “Lifelong learning with weighted majority votes,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 3619–3627.
[Published Version] View | Files available
 
2016 | Published | Conference Paper | IST-REx-ID: 8094 | OA
G. S. Martius, R. Hostettler, A. Knoll, and R. Der, “Self-organized control of an tendon driven arm by differential extrinsic plasticity,” in 15th International Conference on the Synthesis and Simulation of Living Systems, Cancun, Mexico, 2016, vol. 28, pp. 142–143.
[Published Version] View | Files available | DOI
 
2016 | Published | Conference Paper | IST-REx-ID: 1369 | OA
A. Kolesnikov and C. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” presented at the ECCV: European Conference on Computer Vision, Amsterdam, The Netherlands, 2016, vol. 9908, pp. 695–711.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2016 | Published | Book Chapter | IST-REx-ID: 19991
V. Sharmanska and N. Quadrianto, “Learning Using Privileged Information,” in Encyclopedia of Machine Learning and Data Mining, Springer Nature, 2016, pp. 1–4.
View | DOI
 
2015 | Published | Thesis | IST-REx-ID: 1401 | OA
V. Sharmanska, “Learning with attributes for object recognition: Parametric and non-parametrics views,” Institute of Science and Technology Austria, 2015.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2015 | Published | Conference Paper | IST-REx-ID: 1858 | OA
C. Lampert, “Predicting the future behavior of a time-varying probability distribution,” presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States, 2015, pp. 942–950.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2015 | Published | Conference Paper | IST-REx-ID: 1860 | OA
A. Royer and C. Lampert, “Classifier adaptation at prediction time,” presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States, 2015, pp. 1401–1409.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2015 | Published | Conference Paper | IST-REx-ID: 1425 | OA
A. Pentina and C. Lampert, “Lifelong learning with non-i.i.d. tasks,” presented at the NIPS: Neural Information Processing Systems, Montreal, Canada, 2015, vol. 2015, pp. 1540–1548.
View | Download None (ext.)
 
2015 | Published | Conference Paper | IST-REx-ID: 1859 | OA
N. Shah, V. Kolmogorov, and C. Lampert, “A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle,” presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, USA, 2015, pp. 2737–2745.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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