200 citations · 549 across the 29 of their papers we have counts for
3 papers · 1 filter
Efficient Fusion of Sparse and Complementary Convolutions
Chun-Fu Chen, Quanfu Fan, Marco Pistoia +1
We propose a new method to create compact convolutional neural networks (CNNs) by exploiting sparse convolutions. Different from previous works that learn sparsity in models, we di…
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen, Quanfu Fan, Neil Mallinar +2
In this paper, we propose a novel Convolutional Neural Network (CNN) architecture for learning multi-scale feature representations with good tradeoffs between speed and accuracy. T…
System G Distributed Graph Database
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee +5
Motivated by the need to extract knowledge and value from interconnected data, graph analytics on big data is a very active area of research in both industry and academia. To suppo…