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DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
v1v2 (latest)

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

AAAI Conference on Artificial Intelligence (AAAI), 2024
23 August 2024
Xiaowei Mao
Yan Lin
Shengnan Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
ArXiv (abs)PDFHTML

Papers citing "DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation"

19 / 19 papers shown
Towards An Efficient and Effective En Route Travel Time Estimation Framework
Towards An Efficient and Effective En Route Travel Time Estimation Framework
Zekai Shen
Haitao Yuan
Xiaowei Mao
Congkang Lv
Shengnan Guo
Youfang Lin
Huaiyu Wan
306
4
0
05 Apr 2025
Origin-Destination Travel Time Oracle for Map-based Services
Origin-Destination Travel Time Oracle for Map-based Services
Yan Lin
Huaiyu Wan
Jilin Hu
Shengnan Guo
B. Yang
Youfang Lin
Christian S. Jensen
163
36
0
06 Jul 2023
ETA Prediction with Graph Neural Networks in Google Maps
ETA Prediction with Graph Neural Networks in Google MapsInternational Conference on Information and Knowledge Management (CIKM), 2021
Austin Derrow-Pinion
Jennifer She
David Wong
O. Lange
Todd Hester
...
Ang Li
Zhongwen Xu
Alvaro Sanchez-Gonzalez
Yujia Li
Petar Velivcković
AI4TS
235
278
0
25 Aug 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Quantifying Uncertainty in Deep Spatiotemporal ForecastingKnowledge Discovery and Data Mining (KDD), 2021
Dongxian Wu
Liyao (Mars) Gao
X. Xiong
Matteo Chinazzi
Alessandro Vespignani
Yi-An Ma
Rose Yu
AI4TS
217
83
0
25 May 2021
What Are Bayesian Neural Network Posteriors Really Like?
What Are Bayesian Neural Network Posteriors Really Like?International Conference on Machine Learning (ICML), 2021
Pavel Izmailov
Sharad Vikram
Matthew D. Hoffman
A. Wilson
UQCVBDL
347
437
0
29 Apr 2021
STUaNet: Understanding uncertainty in spatiotemporal collective human
  mobility
STUaNet: Understanding uncertainty in spatiotemporal collective human mobilityThe Web Conference (WWW), 2021
Zhengyang Zhou
Yang Wang
Xike Xie
Lei Qiao
Yuantao Li
143
28
0
09 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction SetsJournal of the ACM (JACM), 2021
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Sai Li
OOD
596
233
0
07 Jan 2021
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
216
127
0
24 Aug 2020
A Unified Neural Network Approach for Estimating Travel Time and
  Distance for a Taxi Trip
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
Ishan Jindal
Tony Qin
Qin
Xuewen Chen
M. Nokleby
Jieping Ye
AI4TS
128
88
0
12 Oct 2017
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDLAI4TS
289
366
0
06 Sep 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
4.3K
162,388
0
12 Jun 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
454
1,623
0
11 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
753
5,415
0
15 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts LayerInternational Conference on Learning Representations (ICLR), 2017
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
611
3,755
0
23 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
1.5K
6,801
0
05 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
625
2,049
0
02 Dec 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for NetworksKnowledge Discovery and Data Mining (KDD), 2016
Aditya Grover
J. Leskovec
797
11,744
0
03 Jul 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
1.4K
48,173
0
09 Mar 2016
A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data
A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data
Hongjian Wang
Ruoyao Xiao
Yu-Hsuan Kuo
Daniel Kifer
AI4TS
161
179
0
28 Dec 2015
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