The difficulty to measure or predict species community composition at fi...
Average-K classification is an alternative to top-K classification in wh...
In supervised learning – for instance in image classification – modern
m...
Supervised representation learning with deep networks tends to overfit t...
In modern classification tasks, the number of labels is getting larger a...
When many labels are possible, choosing a single one can lead to low
pre...
In more and more application areas, we are witnessing the emergence of
c...
Deep learning models have become increasingly useful in many different
i...
Understanding the geographic distribution of species is a key concern in...
This paper introduces a new activation checkpointing method which allows...
This paper presents an evaluation of several approaches of plants specie...