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05/15/2023
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and oce...
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02/16/2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
We introduce Meta-Album, an image classification meta-dataset designed t...
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06/20/2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
As restricted quantum computers are slowly becoming a reality, the searc...
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06/15/2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Although deep neural networks are capable of achieving performance super...
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01/28/2022
Learning Curves for Decision Making in Supervised Machine Learning – A Survey
Learning curves are a concept from social sciences that has been adopted...
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11/27/2021
Fast and Informative Model Selection using Learning Curve Cross-Validation
Common cross-validation (CV) methods like k-fold cross-validation or Mon...
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06/10/2021
Meta-Learning for Symbolic Hyperparameter Defaults
Hyperparameter optimization in machine learning (ML) deals with the prob...
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04/21/2021
Stateless Neural Meta-Learning using Second-Order Gradients
Deep learning typically requires large data sets and much compute power ...
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10/07/2020
A Survey of Deep Meta-Learning
Deep neural networks can achieve great successes when presented with lar...
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11/06/2019
OpenML-Python: an extensible Python API for OpenML
OpenML is an online platform for open science collaboration in machine l...
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11/23/2018
Learning Multiple Defaults for Machine Learning Algorithms
The performance of modern machine learning methods highly depends on the...
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05/03/2018
The Algorithm Selection Competition Series 2015-17
The algorithm selection problem is to choose the most suitable algorithm...
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08/11/2017
