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Distil the informative essence of loop detector data set: Is
  network-level traffic forecasting hungry for more data?

Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?

31 October 2023
Guopeng Li
V. Knoop
J. W. C.
J. V. Lint
ArXiv (abs)PDFHTML

Papers citing "Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?"

15 / 15 papers shown
Title
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedMLDD
185
395
0
22 Mar 2022
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNNAI4TSAI4CE
227
879
0
27 Jan 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
55
70
0
02 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
343
1,928
0
12 Nov 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
124
1,494
0
04 Jul 2020
Regression Prior Networks
Regression Prior Networks
A. Malinin
Sergey Chervontsev
Ivan Provilkov
Mark Gales
BDLUQCV
55
38
0
20 Jun 2020
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CEVLM
131
220
0
02 Mar 2020
Deep Learning vs. Traditional Computer Vision
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony
S. Campbell
A. Carvalho
S. Harapanahalli
G. Velasco-Hernández
L. Krpalkova
Daniel Riordan
Joseph Walsh
VLM
60
907
0
30 Oct 2019
Deep Evidential Regression
Deep Evidential Regression
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDLPERBDLUDUQCV
88
441
0
07 Oct 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,225
0
30 Oct 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
204
2,406
0
10 Jul 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
842
5,841
0
05 Dec 2016
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
152
2,038
0
09 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
836
9,346
0
06 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,370
0
03 Jun 2014
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