Subdominant Dense Clusters Allow for Simple Learning and High
Computational Performance in Neural Networks with Discrete Synapses

Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses

18 September 2015

Alessandro Ingrosso

Carlo Lucibello

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Papers citing "Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses"

9 / 59 papers shown

Title
Reinforced stochastic gradient descent for deep neural network learning Haiping Huang Taro Toyoizumi ODL 21 1 0 27 Jan 2017
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 129 775 0 06 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks A. Ardakani C. Condo W. Gross 86 42 0 04 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 233 1,874 0 22 Sep 2016
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes Carlo Baldassi C. Borgs J. Chayes Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 85 168 0 20 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 192 4,378 0 16 Mar 2016
Learning may need only a few bits of synaptic precision Carlo Baldassi Federica Gerace Carlo Lucibello Luca Saglietti R. Zecchina 86 28 0 12 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 286 1,348 0 08 Feb 2016
Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems Carlo Baldassi Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 86 58 0 18 Nov 2015