Tom Viering
Tom Viering
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The shape of learning curves: a review
T Viering, M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
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
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
Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020
Nuclear discrepancy for single-shot batch active learning
TJ Viering, JH Krijthe, M Loog
Machine Learning 108 (8-9), 1561-1599, 2019
LCDB 1.0: An extensive learning curves database for classification tasks
F Mohr, TJ Viering, M Loog, JN van Rijn
Machine Learning and Knowledge Discovery in Databases, ECMLPKDD. p. accepted …, 2022
A distribution dependent and independent complexity analysis of manifold regularization
A Mey, TJ Viering, M Loog
Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020
Nuclear discrepancy for active learning
TJ Viering, JH Krijthe, M Loog
arXiv preprint arXiv:1706.02645, 2017
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance
M Loog, T Viering
arXiv preprint arXiv:2211.14061, 2022
To Tune or not to Tune: Hyperparameter Influence on the Learning Curve
P Bhaskaran, T Viering
Active Learning by Discrepancy Minimization: A Comparison of Active Learning Methods Motivated by Generalization Bounds
TJ Viering
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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