2018
The High-Dimensional Geometry of Binary Neural Networks
ICLR 2018poster
Recent research has shown that one can train a neural network with binary weights and activations at train time by augmenting the weights with a high-precision continuous latent variable that accumulates small changes from stochastic gradient descent. However, there is a dearth of work to explain wh…