User-Dependent Neural Sequence Models for Continuous-Time Event Data

6 November 2020

Papers citing "User-Dependent Neural Sequence Models for Continuous-Time Event Data"

9 / 9 papers shown

Title
Self-attention with Functional Time Representation Learning Da Xu Chuanwei Ruan Sushant Kumar Evren Körpeoglu Kannan Achan AI4TS 48 115 0 28 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 65 267 0 08 Nov 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 65 363 0 25 Mar 2019
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 270 0 08 Mar 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 75 525 0 21 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 140 684 0 15 Nov 2017
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 90 2,352 0 19 Nov 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 195 6,760 0 03 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 393 16,962 0 20 Dec 2013