102 citations · 196 across the 10 of their papers we have counts for
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cs.LG2019★ 21 cited
A Programmable Approach to Neural Network Compression
Vinu Joseph, Saurav Muralidharan, Animesh Garg +2
Deep neural networks (DNNs) frequently contain far more weights, represented at a higher precision, than are required for the specific task which they are trained to perform. Conse…
cs.LG2019★ 16 cited
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton, Iuri Frosio, Michael Garland
We introduce CuLE (CUDA Learning Environment), a CUDA port of the Atari Learning Environment (ALE) which is used for the development of deep reinforcement algorithms. CuLE overcome…