Results of the Active Learning Challenge
By Isabelle M Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire. 2011
102 citations recorded by the source corpus.
Subfields: Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Evaluation & Benchmarks
- Chris Dyer
- Phil Blunsom
- Wang Ling
- Cyprien de Masson d'Autume
- Dani Yogatama
- Lei Yu
- Tomás Kociský
- Angeliki Lazaridou
Citations in the corpus
- Learning and Evaluating General Linguistic Intelligence (2019, background): “Online codelength is related to area under the learning curve (Guyon et al., 2011), as they share similar motivations, and also to dynamic sequence model evaluation (Krause et al., 2018).”
- Machine Learning in Materials Science (2016, methodology): “The loss function in equation [23], known as the squared error loss, is commonly used in machine learning algorithms.”