28 citations · 45 across the 2 of their papers we have counts for
4 papers
The Two-Pass Softmax Algorithm
Marat Dukhan, Artsiom Ablavatski
The softmax (also called softargmax) function is widely used in machine learning models to normalize real-valued scores into a probability distribution. To avoid floating-point ove…
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…
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…
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…