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75 Publications

2019 | Conference Paper | IST-REx-ID: 6942   OA
Strategy representation by decision trees with linear classifiers
P. Ashok, T. Brázdil, K. Chatterjee, J. Křetínský, C. Lampert, V. Toman, in:, 16th International Conference on Quantitative Evaluation of Systems, Springer Nature, 2019, pp. 109–128.
View | DOI | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6569   OA
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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2019 | Conference Paper | IST-REx-ID: 6590   OA
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, n.d.
View | Download (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6944   OA
KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications
R. Sun, C. Lampert, International Journal of Computer Vision (2019).
View | Files available | DOI
 
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.
View | Files available | DOI | Download (ext.) | arXiv
 
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.
View | DOI
 
2018 | Conference Paper | IST-REx-ID: 6589   OA
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.
View | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6011   OA
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.
View | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 6554   OA
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.
View | DOI | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
Learning from dependent data
A. Zimin, Learning from Dependent Data, IST Austria, 2018.
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2018 | Conference Paper | IST-REx-ID: 6012   OA
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.
View | Files available | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 563   OA
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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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.
View | Files available | DOI
 
2018 | Thesis | IST-REx-ID: 197   OA
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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2017 | Conference Paper | IST-REx-ID: 911   OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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2017 | Conference Paper | IST-REx-ID: 652 View | DOI
 
2017 | Conference Paper | IST-REx-ID: 998   OA
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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2017 | Conference Paper | IST-REx-ID: 6841   OA
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.
View | Download (ext.) | arXiv
 
2017 | Journal Article | IST-REx-ID: 658   OA
Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
View | Files available | DOI
 

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