Towards Binary-Valued Gates for Robust LSTM Training

8 June 2018

Papers citing "Towards Binary-Valued Gates for Robust LSTM Training"

9 / 9 papers shown

Title
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 28 21 0 29 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 30 94 0 04 Oct 2021
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model? Juyong Lee Youngsang Cho 9 87 0 30 Jun 2021
Recurrent Neural Networks: An Embedded Computing Perspective Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 45 81 0 23 Jul 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 312 2,896 0 15 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015