Tom Viering
Tom Viering
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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
The shape of learning curves: a review
T Viering, M Loog
arXiv preprint arXiv:2103.10948, 2021
Minimizers of the empirical risk and risk monotonicity
M Loog, T Viering, A Mey
Advances in Neural Information Processing Systems 32, 2019
Open problem: Monotonicity of learning
T Viering, A Mey, M Loog
Conference on Learning Theory, 3198-3201, 2019
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
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings
KG Schmahl, TJ Viering, S Makrodimitris, AN Jahfari, D Tax, M Loog
Proceedings of the Fourth Workshop on Natural Language Processing and …, 2020
Making learners (more) monotone
TJ Viering, A Mey, M Loog
International Symposium on Intelligent Data Analysis, 535-547, 2020
Nuclear discrepancy for single-shot batch active learning
TJ Viering, JH Krijthe, M Loog
Machine Learning 108 (8), 1561-1599, 2019
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
Nuclear discrepancy for active learning
TJ Viering, JH Krijthe, M Loog
arXiv preprint arXiv:1706.02645, 2017
Active Learning by Discrepancy Minimization: A Comparison of Active Learning Methods Motivated by Generalization Bounds
TJ Viering
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
F Mohr, TJ Viering, M Loog, JN van Rijn
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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