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72 Publications

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.
View | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6482   OA
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
View | DOI | Download (ext.) | arXiv
 
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.
View | Download (ext.) | arXiv
 
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: 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. 2018:1-1. doi:10.1109/tpami.2018.2857768
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2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo S, Lampert C, Martius G. 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 | Journal Article | IST-REx-ID: 563
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 | 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: 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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