28 citations · 45 across the 3 of their papers we have counts for
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cs.CV2019
Fast Sparse ConvNets
Erich Elsen, Marat Dukhan, Trevor Gale +1
Historically, the pursuit of efficient inference has been one of the driving forces behind research into new deep learning architectures and building blocks. Some recent examples i…
cs.CV2019★ 28 cited
The Indirect Convolution Algorithm
Marat Dukhan
Deep learning frameworks commonly implement convolution operators with GEMM-based algorithms. In these algorithms, convolution is implemented on top of matrix-matrix multiplication…
cs.CV2018★ 17 cited
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai, Peizhao Zhang, Bichen Wu +10
This paper proposes an efficient neural network (NN) architecture design methodology called Chameleon that honors given resource constraints. Instead of developing new building blo…