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73 Publications

2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. PMLR, 2019.
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2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, n.d.
View | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6482   OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,” 11269:244–59. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-12939-2_18.
View | DOI | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 321
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.” IEEE Transactions on Pattern Analysis and Machine Intelligence 40, no. 5 (2018): 1029–31. https://doi.org/10.1109/TPAMI.2018.2804998.
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2018 | Conference Paper | IST-REx-ID: 6589   OA
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, 2018.
View | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6011   OA
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. International Machine Learning Society, 2018.
View | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 6554   OA
Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “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. https://doi.org/10.1109/tpami.2018.2857768.
View | DOI | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
Zimin, Alexander. Learning from Dependent Data. IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:TH1048.
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2018 | Conference Paper | IST-REx-ID: 6012   OA
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. International Machine Learning Society, 2018.
View | Files available | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics 208, no. 3 (2018): 1231–45. https://doi.org/10.1534/genetics.117.300638 .
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