Modelling EHR timeseries by restricting feature interaction

14 November 2019

Papers citing "Modelling EHR timeseries by restricting feature interaction"

8 / 8 papers shown

Title
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 143 2,139 0 24 Jan 2018
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 302 1,931 0 06 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David M. Krueger Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron Courville C. Pal 67 317 0 03 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 398 18,334 0 27 May 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 153 1,650 0 16 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 95 473 0 27 Jun 2012