78 citations · 341 across the 20 of their papers we have counts for
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cs.LG2019★ 13 cited
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory
Julien Herrmann, Olivier Beaumont, Lionel Eyraud-Dubois +3
This paper introduces a new activation checkpointing method which allows to significantly decrease memory usage when training Deep Neural Networks with the back-propagation algorit…
cs.NE2019★ 7 cited
Evaluation of Deep Species Distribution Models using Environment and Co-occurrences
Benjamin Deneu, Maximilien Servajean, Christophe Botella +1
This paper presents an evaluation of several approaches of plants species distribution modeling based on spatial, environmental and co-occurrences data using machine learning metho…