Ashok, Pranav, Tomás Brázdil, Krishnendu Chatterjee, Jan Ketínský, Christoph Lampert, and Viktor Toman. “Strategy Representation by Decision Trees with Linear Classifiers.”https://doi.org/10.1007/978-3-030-30281-8_7__In 16th International Conference on Quantitative Evaluation of Systems, 11785:109–28. Springer Nature, 2019.https://doi.org/10.1007/978-3-030-30281-8_7 .
LibreCat: https://research-explorer.ista.ac.at/record/6942
DOI: 10.1007/978-3-030-30281-8_7
WoS: 000679281300007
arXiv: 1906.08178

Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.”https://doi.org/10.1109/tpami.2018.2857768__IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers (IEEE), 2019.https://doi.org/10.1109/tpami.2018.2857768 .
LibreCat: https://research-explorer.ista.ac.at/record/6554
DOI: 10.1109/tpami.2018.2857768
WoS: 000480343900015
arXiv: 1707.00600

Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.”https://doi.org/10.1109/ICCV.2019.00144__In IEEE International Conference on Computer Vision, 2019–October:1355–64. IEEE, 2019.https://doi.org/10.1109/ICCV.2019.00144 .
LibreCat: https://research-explorer.ista.ac.at/record/7479
DOI: 10.1109/ICCV.2019.00144
WoS: 000531438101047

Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.”https://doi.org/10.1109/ICCVW.2019.00217__In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019.https://doi.org/10.1109/ICCVW.2019.00217 .
LibreCat: https://research-explorer.ista.ac.at/record/7640
DOI: 10.1109/ICCVW.2019.00217
WoS: 000554591601098
arXiv: 1807.02136

Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. ML Research Press, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6569

Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, 97:3488–98. ML Research Press, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6590
arXiv: 1901.10310

Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,”https://doi.org/10.1007/978-3-030-12939-2_18__11269:244–59. Springer Nature, 2019.https://doi.org/10.1007/978-3-030-12939-2_18 .
LibreCat: https://research-explorer.ista.ac.at/record/6482
DOI: 10.1007/978-3-030-12939-2_18
arXiv: 1804.04171

Zimin, Alexander. “Learning from Dependent Data.”https://doi.org/10.15479/AT:ISTA:TH1048__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:TH1048 .
LibreCat: https://research-explorer.ista.ac.at/record/68
DOI: 10.15479/AT:ISTA:TH1048

Kolesnikov, Alexander. “Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images.”https://doi.org/10.15479/AT:ISTA:th_1021__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:th_1021 .
LibreCat: https://research-explorer.ista.ac.at/record/197
DOI: 10.15479/AT:ISTA:th_1021

Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.”https://doi.org/10.1534/genetics.117.300638__Genetics. Genetics Society of America, 2018.https://doi.org/10.1534/genetics.117.300638 .
LibreCat: https://research-explorer.ista.ac.at/record/563
DOI: 10.1534/genetics.117.300638
WoS: 000426219600025

Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.”https://doi.org/10.1109/TPAMI.2018.2804998__IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018.https://doi.org/10.1109/TPAMI.2018.2804998 .
LibreCat: https://research-explorer.ista.ac.at/record/321
DOI: 10.1109/TPAMI.2018.2804998
WoS: 000428901200001

Uijlings, Jasper, Ksenia Konyushkova, Christoph Lampert, and Vittorio Ferrari. “Learning Intelligent Dialogs for Bounding Box Annotation.”https://doi.org/10.1109/cvpr.2018.00956__In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9175–84. IEEE, 2018.https://doi.org/10.1109/cvpr.2018.00956 .
LibreCat: https://research-explorer.ista.ac.at/record/10882
DOI: 10.1109/cvpr.2018.00956
WoS: 000457843609036
arXiv: 1712.08087

Sahoo, Subham, Christoph Lampert, and Georg S Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. ML Research Press, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6012
WoS: 000683379204058
arXiv: 1806.07259

Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. ML Research Press, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6011
WoS: 000683379202095
arXiv: 1703.01678

Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In Advances in Neural Information Processing Systems 31, Volume 2018:5973–83. Neural Information Processing Systems Foundation, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6589
WoS: 000461852000047
arXiv: 1809.10505

Deny, Stephane, Olivier Marre, Vicente Botella-Soler, Georg S Martius, and Gasper Tkadik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.”https://doi.org/10.15479/AT:ISTA:98__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:98 .
LibreCat: https://research-explorer.ista.ac.at/record/5584
DOI: 10.15479/AT:ISTA:98

Der, Ralf, and Georg S Martius. “Dynamical Self Consistency Leads to Behavioral Development and Emergent Social Interactions in Robots.”https://doi.org/10.1109/DEVLRN.2016.7846789__IEEE, 2017.https://doi.org/10.1109/DEVLRN.2016.7846789 .
LibreCat: https://research-explorer.ista.ac.at/record/652
DOI: 10.1109/DEVLRN.2016.7846789

Der, Ralf, and Georg S Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.”https://doi.org/10.3389/fnbot.2017.00008__Frontiers in Neurorobotics. Frontiers Research Foundation, 2017.https://doi.org/10.3389/fnbot.2017.00008 .
LibreCat: https://research-explorer.ista.ac.at/record/658
DOI: 10.3389/fnbot.2017.00008

Martius, Georg S, and Christoph Lampert. “Extrapolation and Learning Equations.” In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/6841
arXiv: 1610.02995

Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.”https://doi.org/10.1109/BigData.2017.8258375__In 2017 IEEE International Conference on Big Data, 3760–63. IEEE, 2017.https://doi.org/10.1109/BigData.2017.8258375 .
LibreCat: https://research-explorer.ista.ac.at/record/750
DOI: 10.1109/BigData.2017.8258375