Tom J. Viering

17 papers A* 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought. CoRR Cheng Yan, Felix Mohr, Tom J. Viering
2025	J	`jnl`	Learning Learning Curves. Pattern Anal. Appl. O. Taylan Turan, David M. J. Tax, Tom J. Viering, Marco Loog
2024	J	`jnl`	The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2024	J	`jnl`	The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash
2023	J	`jnl`	The Shape of Learning Curves: A Review. IEEE Trans. Pattern Anal. Mach. Intell. Tom J. Viering, Marco Loog
2022	J	`jnl`	A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance. CoRR Marco Loog, Tom J. Viering
2022	—	`conf`	LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks. ECML/PKDD (5) Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn
2021	J	`jnl`	The Shape of Learning Curves: a Review. CoRR Tom J. Viering, Marco Loog
2020	J	`jnl`	A Brief Prehistory of Double Descent. CoRR Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax
2019	J	`jnl`	A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. CoRR Alexander Mey, Tom J. Viering, Marco Loog
2019	J	`jnl`	How to Manipulate CNNs to Make Them Lie: the GradCAM Case. CoRR Tom J. Viering, Ziqi Wang, Marco Loog, Elmar Eisemann
2019	J	`jnl`	Making Learners (More) Monotone. CoRR Tom J. Viering, Alexander Mey, Marco Loog
2019	A*	`conf`	Minimizers of the Empirical Risk and Risk Monotonicity. NeurIPS Marco Loog, Tom J. Viering, Alexander Mey
2019	J	`jnl`	Minimizers of the Empirical Risk and Risk Monotonicity. CoRR Marco Loog, Tom J. Viering, Alexander Mey
2019	J	`jnl`	Nuclear discrepancy for single-shot batch active learning. Mach. Learn. Tom J. Viering, Jesse H. Krijthe, Marco Loog
2019	A*	`conf`	Open Problem: Monotonicity of Learning. COLT Tom J. Viering, Alexander Mey, Marco Loog
2017	J	`jnl`	Nuclear Discrepancy for Active Learning. CoRR Tom J. Viering, Jesse H. Krijthe, Marco Loog