activity
20142026
most citedFast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

2.3k citations · 2.5k across the 24 of their papers we have counts for

collaborators
Showing 2015Show all

2 papers · 1 filter

cs.LG2015★ 2.3k cited

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter

We introduce the "exponential linear unit" (ELU) which speeds up learning in deep neural networks and leads to higher classification accuracies. Like rectified linear units (ReLUs)…

cs.LG2015★ 5 cited

Rectified Factor Networks

Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner +1

We propose rectified factor networks (RFNs) to efficiently construct very sparse, non-linear, high-dimensional representations of the input. RFN models identify rare and small even…