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01/11/2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
The majority of adversarial attack techniques perform well against deep ...
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05/21/2018
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning
In distributed deep learning, a large batch size in Stochastic Gradient ...
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05/22/2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
High network communication cost for synchronizing gradients and paramete...
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03/28/2017
Coordinating Filters for Faster Deep Neural Networks
Very large-scale Deep Neural Networks (DNNs) have achieved remarkable su...
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02/11/2017
Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks
Synapse crossbar is an elementary structure in Neuromorphic Computing Sy...
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01/07/2017
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses
Brain inspired neuromorphic computing has demonstrated remarkable advant...
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08/12/2016
Learning Structured Sparsity in Deep Neural Networks
High demand for computation resources severely hinders deployment of lar...
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04/03/2016