Bayesian Sparsification of Recurrent Neural Networks

Bayesian Sparsification of Recurrent Neural Networks

31 July 2017

Nadezhda Chirkova

Dmitry Vetrov

Papers citing "Bayesian Sparsification of Recurrent Neural Networks"

7 / 7 papers shown

Title
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems E. Bobrov Sergey Troshin Nadezhda Chirkova E. Lobacheva Sviatoslav Panchenko Dmitry Vetrov Dmitry Kropotov Lomonosov Msu 11 3 0 29 Dec 2021
Spectral Pruning for Recurrent Neural Networks Takashi Furuya Kazuma Suetake K. Taniguchi Hiroyuki Kusumoto Ryuji Saiin Tomohiro Daimon 27 4 0 23 May 2021
Intrinsically Sparse Long Short-Term Memory Networks Shiwei Liu Decebal Constantin Mocanu Mykola Pechenizkiy 30 9 0 26 Jan 2019
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking Patrick H. Chen Si Si Yang Li Ciprian Chelba Cho-Jui Hsieh 21 67 0 18 Jun 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015