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05/29/2019
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Performing supervised learning from the data synthesized by using Genera...
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04/12/2019
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning
Deep Learning techniques have achieved remarkable results in many domain...
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09/18/2018
MBS: Macroblock Scaling for CNN Model Reduction
We estimate the proper channel (width) scaling of Convolution Neural Net...
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07/16/2018
Backward Reduction of CNN Models with Information Flow Analysis
This paper proposes backward reduction, an algorithm that explores the c...
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02/19/2018
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks
We propose a block-diagonal approximation of the positive-curvature Hess...
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08/10/2017
Distributed Training Large-Scale Deep Architectures
Scale of data and scale of computation infrastructures together enable t...
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07/25/2017