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ORCIDTom J. Viering
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2020 – today
- 2024
[j3]Romain Egele
, Felix Mohr, Tom J. Viering, Prasanna Balaprakash:
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing 597: 127964 (2024)- [i9]Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash:
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR abs/2404.04111 (2024) - 2023
- [b1]Tom Julian Viering:
On Safety in Machine Learning. Delft University of Technology, Netherlands, 2023 - [j2]Tom J. Viering, Marco Loog:
The Shape of Learning Curves: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7799-7819 (2023) - 2022
- [c5]Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn:
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks. ECML/PKDD (5) 2022: 3-19 - [i8]Marco Loog, Tom J. Viering:
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance. CoRR abs/2211.14061 (2022) - 2021
- [i7]Tom J. Viering, Marco Loog:
The Shape of Learning Curves: a Review. CoRR abs/2103.10948 (2021) - 2020
- [c4]Alexander Mey, Tom Julian Viering, Marco Loog:
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. IDA 2020: 326-338 - [c3]Tom Julian Viering, Alexander Mey, Marco Loog:
Making Learners (More) Monotone. IDA 2020: 535-547 - [i6]Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax:
A Brief Prehistory of Double Descent. CoRR abs/2004.04328 (2020)
2010 – 2019
- 2019
- [j1]Tom J. Viering, Jesse H. Krijthe, Marco Loog:
Nuclear discrepancy for single-shot batch active learning. Mach. Learn. 108(8-9): 1561-1599 (2019) - [c2]Tom J. Viering, Alexander Mey, Marco Loog:
Open Problem: Monotonicity of Learning. COLT 2019: 3198-3201 - [c1]Marco Loog, Tom J. Viering, Alexander Mey:
Minimizers of the Empirical Risk and Risk Monotonicity. NeurIPS 2019: 7476-7485 - [i5]Alexander Mey, Tom J. Viering, Marco Loog:
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. CoRR abs/1906.06100 (2019) - [i4]Marco Loog, Tom J. Viering, Alexander Mey:
Minimizers of the Empirical Risk and Risk Monotonicity. CoRR abs/1907.05476 (2019) - [i3]Tom J. Viering, Ziqi Wang, Marco Loog, Elmar Eisemann:
How to Manipulate CNNs to Make Them Lie: the GradCAM Case. CoRR abs/1907.10901 (2019) - [i2]Tom J. Viering, Alexander Mey, Marco Loog:
Making Learners (More) Monotone. CoRR abs/1911.11030 (2019) - 2017
- [i1]Tom J. Viering, Jesse H. Krijthe, Marco Loog:
Nuclear Discrepancy for Active Learning. CoRR abs/1706.02645 (2017)
Coauthor Index
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