Learning to Transfer for Traffic Forecasting via Multi-task Learning

27 November 2021

Papers citing "Learning to Transfer for Traffic Forecasting via Multi-task Learning"

8 / 8 papers shown

Title
MobilityDL: A Review of Deep Learning From Trajectory Data Anita Graser Anahid N. Jalali Jasmin Lampert Axel Weissenfeld Krzysztof Janowicz 22 7 0 01 Feb 2024
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation Yichao Lu 22 1 0 21 Feb 2023
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes Christian Eichenberger M. Neun Henry Martin Pedro Herruzo M. Spanring ... Fei Tang A. Gruca Michael K Kopp David P. Kreil Sepp Hochreiter 46 19 0 31 Mar 2022
A Graph-based U-Net Model for Predicting Traffic in unseen Cities L. Hermes Barbara Hammer Andrew Melnik Riza Velioglu Markus Vieth M. Schilling GNN AI4TS AI4CE 14 6 0 11 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities Yihong Tang Ao Qu A. Chow W. Lam S. Wong Wei-Ying Ma AI4TS 97 54 0 08 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015