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73 Publications
2019 | Conference Paper | IST-REx-ID: 6569 
Towards understanding knowledge distillation
P. Bui Thi Mai, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 5142–5151.
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P. Bui Thi Mai, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 5142–5151.
2019 | Conference Paper | IST-REx-ID: 6590
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, n.d.
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| arXiv
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, n.d.
2019 | Conference Paper | IST-REx-ID: 6482
KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
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| arXiv
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
2018 | Journal Article | IST-REx-ID: 321
Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis
T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
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T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
2018 | Conference Paper | IST-REx-ID: 6589
The convergence of sparsified gradient methods
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
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| arXiv
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
2018 | Conference Paper | IST-REx-ID: 6011
Data-dependent stability of stochastic gradient descent
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
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| arXiv
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
2018 | Journal Article | IST-REx-ID: 6554
Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. Lampert, B. Schiele, Z. Akata, IEEE Transactions on Pattern Analysis and Machine Intelligence (2018) 1–1.
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| arXiv
Y. Xian, C. Lampert, B. Schiele, Z. Akata, IEEE Transactions on Pattern Analysis and Machine Intelligence (2018) 1–1.
2018 | Thesis | IST-REx-ID: 68
Learning from dependent data
A. Zimin, Learning from Dependent Data, IST Austria, 2018.
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A. Zimin, Learning from Dependent Data, IST Austria, 2018.
2018 | Conference Paper | IST-REx-ID: 6012
Learning equations for extrapolation and control
S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
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| arXiv
S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
2018 | Journal Article | IST-REx-ID: 563
Estimating barriers to gene flow from distorted isolation-by-distance patterns
H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.
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H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.
2018 | Research Data | IST-REx-ID: 5584
Nonlinear decoding of a complex movie from the mammalian retina
S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkacik, Nonlinear Decoding of a Complex Movie from the Mammalian Retina, IST Austria, 2018.
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S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkacik, Nonlinear Decoding of a Complex Movie from the Mammalian Retina, IST Austria, 2018.
2018 | Thesis | IST-REx-ID: 197
Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
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A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
2017 | Conference Paper | IST-REx-ID: 911
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
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A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
2017 | Conference Paper | IST-REx-ID: 1000
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
2017 | Conference Paper | IST-REx-ID: 652
Dynamical self consistency leads to behavioral development and emergent social interactions in robots
R. Der, G.S. Martius, in:, IEEE, 2017.
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R. Der, G.S. Martius, in:, IEEE, 2017.
2017 | Conference Paper | IST-REx-ID: 998
iCaRL: Incremental classifier and representation learning
S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
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S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
2017 | Conference Paper | IST-REx-ID: 6841
Extrapolation and learning equations
G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
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| arXiv
G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
2017 | Journal Article | IST-REx-ID: 658
Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
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R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
2017 | Conference Paper | IST-REx-ID: 999
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
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A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
2017 | Conference Paper | IST-REx-ID: 1108
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
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A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.