Next meeting:
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Lucas Vicente García-Consuegra,
David Marsh,
Ankit Beniwal,
Silvia Pla García,
Maximilian Detering,
Lucien Heurtier|
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Votes: 4
7 years ago Author:
John T. Giblin, James B. Mertens, Glenn D. Starkman, Chi Tian
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7 years ago
Title: Machine Learning Binarized Neural Networks: Training Deep Neural Networks with We
Link: https://arxiv.org/pdf/1602.02830.pdf
Description: We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During the forward pass, BNNs drastically reduce memory size and accesses, and replace most arithmetic operations with bit-wise operations, which is expected to substantially improve power-efficiency. To validate the effectiveness of BNNs we conduct two sets of experiments on the Torch7 and Theano frameworks. On both, BNNs achieved nearly state-of-the-art results over the MNIST, CIFAR-10 and SVHN datasets. Last but not least, we wrote a binary matrix multiplication GPU kernel with which it is possible to run our MNIST BNN 7 times faster than with an unoptimized GPU kernel, without suffering any loss in classification accuracy. The code for training and running our BNNs is available on-line.
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Votes: 3
7 years ago Author: |
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Votes: 3
7 years ago Author:
Alfredo Urbano
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Votes: 1
7 years ago Author:
R. A. Konoplya, Z. Stuchlík, A. Zhidenko
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Votes: 1
7 years ago Author:
Adam G. Riess, Stefano Casertano, D'Arcy Kenworthy, Dan Scolnic, Lucas Macri
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Votes: 5
7 years ago Author:
Dan Hooper, Tim Linden, Abby Vieregg
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Votes: 1
7 years ago Author:
Gianfranco Bertone, Tim M. P. Tait
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7 years ago
Title: Distinguishing Boson Stars from Black Holes and Neutron Stars from Tidal Interactions in Inspiraling
Link: https://arxiv.org/abs/1704.08651
Description:
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Votes: 1
7 years ago Author:
Stephon H. Alexander, Kent Yagi, Nicolas Yunes
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