2 papers
stat.ML2020
Restricting the Flow: Information Bottlenecks for Attribution
Karl Schulz, Leon Sixt, Federico Tombari +1
Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks. For a given input sample, they assign a relevance score to…
cs.CV2018
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
Benjamin Wild, Leon Sixt, Tim Landgraf
The honeybee is a fascinating model animal to investigate how collective behavior emerges from (inter-)actions of thousands of individuals. Bees may acquire unique memories through…