← Search

Matthieu Courbariaux

2 accepted papers

2016

Binarized Neural Networks

NeurIPS 2016poster

We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At train-time the binary weights and activations are used for computing the parameter gradients. During the forward pass, BNNs drastically reduce memory size and accesse…

2015

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

NeurIPS 2015poster

Deep Neural Networks (DNN) have achieved state-of-the-art results in a wide range of tasks, with the best results obtained with large training sets and large models. In the past, GPUs enabled these breakthroughs because of their greater computational speed. In the future, faster computation at both…