v1v2 (latest)

KL-divergence Based Deep Learning for Discrete Time Model

10 August 2022

ArXiv (abs)PDF HTML

Papers citing "KL-divergence Based Deep Learning for Discrete Time Model"

10 / 10 papers shown

Title
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks Weijing Tang Jiaqi Ma Qiaozhu Mei Ji Zhu 48 31 0 19 Aug 2020
Continuous and Discrete-Time Survival Prediction with Neural Networks Håvard Kvamme Ørnulf Borgan 70 130 0 15 Oct 2019
Time-to-Event Prediction with Neural Networks and Cox Regression Håvard Kvamme Ørnulf Borgan Ida Scheel 364 333 0 01 Jul 2019
A Scalable Discrete-Time Survival Model for Neural Networks Michael Gensheimer B. Narasimhan 78 191 0 02 May 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 78 3,236 0 22 Mar 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 108 487 0 19 Feb 2018
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 206 6,203 0 15 Sep 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 496 1,261 0 02 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014