42 citations · 55 across the 13 of their papers we have counts for
4 papers · 2 filters
Automated Imbalanced Learning
Prabhant Singh, Joaquin Vanschoren
Automated Machine Learning has grown very successful in automating the time-consuming, iterative tasks of machine learning model development. However, current methods struggle when…
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Prabhant Singh, Joaquin Vanschoren
Automated machine learning has been widely researched and adopted in the field of supervised classification and regression, but progress in unsupervised settings has been limited.…
EmProx: Neural Network Performance Estimation For Neural Architecture Search
G. G. H. Franken, P. Singh, J. Vanschoren
Common Neural Architecture Search methods generate large amounts of candidate architectures that need training in order to assess their performance and find an optimal architecture…
Online AutoML: An adaptive AutoML framework for online learning
Bilge Celik, Prabhant Singh, Joaquin Vanschoren
Automated Machine Learning (AutoML) has been used successfully in settings where the learning task is assumed to be static. In many real-world scenarios, however, the data distribu…