Tom Viering
Tom Viering
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Open problem: Monotonicity of learning
T Viering, A Mey, M Loog
Conference on Learning Theory, 3198-3201, 2019
32019
Minimizers of the empirical risk and risk monotonicity
M Loog, T Viering, A Mey
Advances in Neural Information Processing Systems, 7478-7487, 2019
32019
How to manipulate cnns to make them lie: the gradcam case
T Viering, Z Wang, M Loog, E Eisemann
arXiv preprint arXiv:1907.10901, 2019
22019
A brief prehistory of double descent
M Loog, T Viering, A Mey, JH Krijthe, DMJ Tax
Proceedings of the National Academy of Sciences 117 (20), 10625-10626, 2020
12020
Nuclear discrepancy for active learning
TJ Viering, JH Krijthe, M Loog
arXiv preprint arXiv:1706.02645, 2017
12017
Making Learners (More) Monotone
TJ Viering, A Mey, M Loog
International Symposium on Intelligent Data Analysis, 535-547, 2020
2020
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
A Mey, TJ Viering, M Loog
International Symposium on Intelligent Data Analysis, 326-338, 2020
2020
Nuclear discrepancy for single-shot batch active learning
TJ Viering, JH Krijthe, M Loog
Machine Learning 108 (8-9), 1561-1599, 2019
2019
Active Learning by Discrepancy Minimization: A Comparison of Active Learning Methods Motivated by Generalization Bounds
TJ Viering
2016
Generalization Bound Minimization for Active Learning
T Viering, J Krijthe, M Loog
Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on …, 0
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