Path sample-analytic gradient estimators for stochastic binary networks

A Shekhovtsov, V Yanush… - Advances in neural …, 2020 - proceedings.neurips.cc
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …
被引用次数：18 相关文章

Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks

A Shekhovtsov, V Yanush, B Flach - arXiv preprint arXiv:2006.03143, 2020 - arxiv.org
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …
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[PDF][PDF] Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks

A Shekhovtsov, V Yanush, B Flach - proceedings.nips.cc
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …

[引用][C] Path sample-analytic gradient estimators for stochastic binary networks

A Shekhovtsov, B Flach, V Yanush - Advances in Neural Information …, 2020 - elibrary.ru

Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks

A Shekhovtsov, V Yanush… - Advances in Neural …, 2020 - proceedings.neurips.cc
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …

Path sample-analytic gradient estimators for stochastic binary networks

A Shekhovtsov, V Yanush, B Flach - Proceedings of the 34th …, 2020 - dl.acm.org
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …

Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks

A Shekhovtsov, V Yanush, B Flach - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
In neural networks with binary activations and or binary weights the training by gradient
descent is complicated as the model has piecewise constant response. We consider …