337 citations · 416 across the 9 of their papers we have counts for
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cs.NE2017★ 337 cited
Submanifold Sparse Convolutional Networks
Benjamin Graham, Laurens van der Maaten
Convolutional network are the de-facto standard for analysing spatio-temporal data such as images, videos, 3D shapes, etc. Whilst some of this data is naturally dense (for instance…
cs.NE2017★ 11 cited
Low-Precision Batch-Normalized Activations
Benjamin Graham
Artificial neural networks can be trained with relatively low-precision floating-point and fixed-point arithmetic, using between one and 16 bits. Previous works have focused on rel…
cs.NE2015★ 7 cited
Efficient batchwise dropout training using submatrices
Ben Graham, Jeremy Reizenstein, Leigh Robinson
Dropout is a popular technique for regularizing artificial neural networks. Dropout networks are generally trained by minibatch gradient descent with a dropout mask turning off som…