4 citations · 6 across the 3 of their papers we have counts for
4 papers
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Thomas Elsken, Arber Zela, Jan Hendrik Metzen +4
The success of deep learning in recent years has lead to a rising demand for neural network architecture engineering. As a consequence, neural architecture search (NAS), which aims…
Bag of Tricks for Neural Architecture Search
Thomas Elsken, Benedikt Staffler, Arber Zela +2
While neural architecture search methods have been successful in previous years and led to new state-of-the-art performance on various problems, they have also been criticized for…
Bosch Deep Learning Hardware Benchmark
Armin Runge, Thomas Wenzel, Dimitrios Bariamis +3
The widespread use of Deep Learning (DL) applications in science and industry has created a large demand for efficient inference systems. This has resulted in a rapid increase of a…
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Toufiq Parag, Daniel Berger, Lee Kamentsky +5
Synaptic connectivity detection is a critical task for neural reconstruction from Electron Microscopy (EM) data. Most of the existing algorithms for synapse detection do not identi…