1k citations · 1.9k across the 5 of their papers we have counts for
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cs.NE2015★ 662 cited
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran +1
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems. Also, conventional networks fix the architecture befor…
cs.NE2014★ 1k cited
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch +4
We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and…