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77 Publications

2019 | Journal Article | IST-REx-ID: 6952   OA
Henderson PM, Ferrari V. Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. 2019. doi:10.1007/s11263-019-01219-8
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2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C, eds. Wie Maschinen Lernen. Springer Nature; 2019. doi:10.1007/978-3-658-26763-6
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2019 | Journal Article | IST-REx-ID: 6554   OA
Xian Y, Lampert C, Schiele B, Akata Z. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019;41(9):2251-2265. doi:10.1109/tpami.2018.2857768
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2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
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2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai P, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. PMLR; 2019:5142-5151.
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2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning.
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2019 | Conference Paper | IST-REx-ID: 6482
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
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2019 | Journal Article | IST-REx-ID: 6944   OA
Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 2019. doi:10.1007/s11263-019-01232-x
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2018 | Journal Article | IST-REx-ID: 321
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
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2018 | Conference Paper | IST-REx-ID: 6589   OA
Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. The convergence of sparsified gradient methods. In: Advances in Neural Information Processing Systems 31. Vol Volume 2018. Neural information processing systems; 2018:5973-5983.
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2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:2815-2824.
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2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245. doi:10.1534/genetics.117.300638
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2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:4442-4450.
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2018 | Thesis | IST-REx-ID: 68   OA
Zimin A. Learning from Dependent Data. IST Austria; 2018. doi:10.15479/AT:ISTA:TH1048
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2018 | Research Data | IST-REx-ID: 5584   OA
Deny S, Marre O, Botella-Soler V, Martius GS, Tkacik G. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria; 2018. doi:10.15479/AT:ISTA:98
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2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov A. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria; 2018. doi:10.15479/AT:ISTA:th_1021
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2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. In: BMVA Press.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. PixelCNN models with auxiliary variables for natural image modeling. In: Vol 70. Omnipress; 2017:1905-1914.
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2017 | Conference Paper | IST-REx-ID: 652
Der R, Martius GS. Dynamical self consistency leads to behavioral development and emergent social interactions in robots. In: IEEE; 2017. doi:10.1109/DEVLRN.2016.7846789
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2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius GS, Lampert C. Extrapolation and learning equations. In: 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations; 2017.
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2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:10.1109/CVPR.2017.587
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2017 | Journal Article | IST-REx-ID: 658   OA
Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008
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2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina A, Lampert C. Multi-task learning with labeled and unlabeled tasks. In: Vol 70. Omnipress; 2017:2807-2816.
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2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin A, Lampert C. Learning theory for conditional risk minimization. In: Vol 54. JMLR, Inc. and Microtome Publishing; 2017:213-222.
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2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer allocation needs realistic distances. In: 2017 IEEE International Conference on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375
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2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42
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2016 | Conference Paper | IST-REx-ID: 1098   OA
Pentina A, Urner R. Lifelong learning with weighted majority votes. In: Vol 29. Neural Information Processing Systems; 2016:3619-3627.
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2016 | Conference Paper | IST-REx-ID: 1214
Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November. IEEE; 2016. doi:10.1109/IROS.2016.7759138
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2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041
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2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: Proceedings of the British Machine Vision Conference 2016. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:10.5244/C.30.92
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2016 | Thesis | IST-REx-ID: 1126   OA
Pentina A. Theoretical Foundations of Multi-Task Lifelong Learning. IST Austria; 2016. doi:10.15479/AT:ISTA:TH_776
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2015 | Journal Article | IST-REx-ID: 1655   OA
Martius GS, Olbrich E. Quantifying emergent behavior of autonomous robots. Entropy. 2015;17(10):7266-7297. doi:10.3390/e17107266
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2015 | Conference Paper | IST-REx-ID: 1706   OA
Pentina A, Ben David S. Multi-task and lifelong learning of kernels. In: Vol 9355. Springer; 2015:194-208. doi:10.1007/978-3-319-24486-0_13
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2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
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2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
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2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
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2015 | Journal Article | IST-REx-ID: 1570   OA
Der R, Martius GS. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 2015;112(45):E6224-E6232. doi:10.1073/pnas.1508400112
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2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
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2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska V. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. IST Austria; 2015.
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2015 | Journal Article | IST-REx-ID: 1533
Xia W, Domokos C, Xiong J, Cheong L, Yan S. Segmentation over detection via optimal sparse reconstructions. IEEE Transactions on Circuits and Systems for Video Technology. 2015;25(8):1295-1308. doi:10.1109/TCSVT.2014.2379972
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2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
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2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845.
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2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant E, Habrard A, Ayache S. Majority vote of diverse classifiers for late fusion. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8621. Springer; 2014:153-162. doi:10.1007/978-3-662-44415-3_16
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2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182
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2014 | Conference Paper | IST-REx-ID: 2189   OA
Morvant E. Adaptation de domaine de vote de majorité par auto-étiquetage non itératif. In: Vol 1. Elsevier; 2014:49-58.
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2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Xing E, Jebara T, eds. Vol 32. Omnipress; 2014:991-999.
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2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
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2014 | Journal Article | IST-REx-ID: 2180   OA
Bellet A, Habrard A, Morvant E, Sebban M. Learning a priori constrained weighted majority votes. Machine Learning. 2014;97(1-2):129-154. doi:10.1007/s10994-014-5462-z
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2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. Movement templates for learning of hitting and batting. In: Kober J, Peters J, eds. Learning Motor Skills. Vol 97. From Algorithms to Robot Experiments. Springer; 2014:69-82. doi:10.1007/978-3-319-03194-1_3
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