52 citations · 60 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 7 cited
Pruning at a Glance: Global Neural Pruning for Model Compression
Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein +1
Deep Learning models have become the dominant approach in several areas due to their high performance. Unfortunately, the size and hence computational requirements of operating suc…
cs.CL2019★ 52 cited
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds
Tassilo Klein, Moin Nabi
Automatic question generation aims at the generation of questions from a context, with the corresponding answers being sub-spans of the given passage. Whereas, most of the methods…
cs.CV2019★ 1 cited
Low-Shot Learning from Imaginary 3D Model
Frederik Pahde, Mihai Puscas, Jannik Wolff +3
Since the advent of deep learning, neural networks have demonstrated remarkable results in many visual recognition tasks, constantly pushing the limits. However, the state-of-the-a…