Deep Learning
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Tensor decomposition is an important tool for multiway data analysis.
39f6d5c2e310a5a629dcfc4d517aa0d1-Paper-Conference.pdf
Finally,thepredictedoutput function is decoded by the inverse PhCA, given any query locations.
LearningFrequencyDomainApproximationfor BinaryNeuralNetworks
Since the gradient ofthe conventional sign function is almost zero everywhere which cannot be used for back-propagation, several attempts have been proposed to alleviate the optimization difficulty by using approximate gradient.
af835bd1b5b689c3f9d075ae5a15bf3e-Paper-Conference.pdf
Is Integer Arithmetic Enoughfor Deep Learning Training?
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
Neural Information Processing Systems http://nips.cc/