Reading list

[MatthewJA]

Astronomy Papers

• Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection
• Teaching a machine to see: unsupervised image segmentation and categorisation using growing neural gas and hierarchical clustering
• Rotation-invariant convolutional neural networks for galaxy morphology prediction
• Matching radio catalogues with realistic geometry: application to SWIRE and ATLAS
• Automatic Galaxy Classification via Machine Learning Techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK)

Active Learning Papers

• Bandit-Based Task Assignment for Heterogeneous Crowdsourcing
• Two Faces of Active Learning
• Active Learning from Crowds
• Active Learning for Crowd-Sourced Databases

[MatthewJA]

Might close this for now since it's not something I can actually action.