Tom J. Viering

According to our database, Tom J. Viering authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization.

Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash

Neurocomputing, 2024

2023

The Shape of Learning Curves: A Review.

Tom J. Viering, Marco Loog

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

On Safety in Machine Learning.

Tom Julian Viering

PhD thesis, 2023

2022

A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance.

Marco Loog, Tom J. Viering

CoRR, 2022

LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks.

Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2020

A Brief Prehistory of Double Descent.

Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax

CoRR, 2020

Making Learners (More) Monotone.

Tom Julian Viering, Alexander Mey, Marco Loog

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization.

Alexander Mey, Tom Julian Viering, Marco Loog

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Nuclear discrepancy for single-shot batch active learning.

Tom J. Viering, Jesse H. Krijthe, Marco Loog

Mach. Learn., 2019

How to Manipulate CNNs to Make Them Lie: the GradCAM Case.

Tom J. Viering, Ziqi Wang, Marco Loog, Elmar Eisemann

CoRR, 2019

Minimizers of the Empirical Risk and Risk Monotonicity.

Marco Loog, Tom J. Viering, Alexander Mey

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Open Problem: Monotonicity of Learning.

Tom J. Viering, Alexander Mey, Marco Loog

Proceedings of the Conference on Learning Theory, 2019

2017

Nuclear Discrepancy for Active Learning.

Tom J. Viering, Jesse H. Krijthe, Marco Loog

CoRR, 2017