Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
暂无分享,去创建一个
Xianfeng Tang | Ying Wei | Zhenhui Li | Yiding Liu | Huaxiu Yao | Z. Li | Ying Wei | Xianfeng Tang | Huaxiu Yao | Yiding Liu
[1] Rong Yan,et al. Adapting SVM Classifiers to Data with Shifted Distributions , 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).
[2] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Paolo Frasconi,et al. Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning , 2013, IEEE Transactions on Intelligent Transportation Systems.
[4] Gao Cong,et al. An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks , 2017, Proc. VLDB Endow..
[5] Lionel M. Ni,et al. Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning , 2013, AAAI.
[6] Feng Liu,et al. Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning , 2018, ArXiv.
[7] Rama Chellappa,et al. Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.
[8] Xianfeng Tang,et al. Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction , 2018, AAAI.
[9] Enhong Chen,et al. Incorporating Spatio-Temporal Smoothness for Air Quality Inference , 2017, 2017 IEEE International Conference on Data Mining (ICDM).
[10] Wei Cao,et al. DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).
[11] Masashi Sugiyama,et al. Trajectory Regression on Road Networks , 2011, AAAI.
[12] Yu Zheng,et al. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction , 2016, AAAI.
[13] Richard S. Zemel,et al. Prototypical Networks for Few-shot Learning , 2017, NIPS.
[14] Cyrus Shahabi,et al. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ICLR.
[15] Jiliang Tang,et al. Modeling Temporal-Spatial Correlations for Crime Prediction , 2017, CIKM.
[16] Billy M. Williams,et al. Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow , 2007 .
[17] Qiang Yang,et al. EigenTransfer: a unified framework for transfer learning , 2009, ICML '09.
[18] Hao Ma,et al. GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs , 2018, UAI.
[19] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[20] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[21] Jieping Ye,et al. The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms , 2017, KDD.
[22] Hugo Larochelle,et al. Optimization as a Model for Few-Shot Learning , 2016, ICLR.
[23] Xiqun Chen,et al. Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach , 2017, ArXiv.
[24] Ugur Demiryurek,et al. Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting , 2017, SDM.
[25] Gao Cong,et al. Efficient Similar Region Search with Deep Metric Learning , 2018, KDD.
[26] Zhenhui Li,et al. Region Representation Learning via Mobility Flow , 2017, CIKM.
[27] Duo Zhang,et al. Deep Learning for Real Time Crime Forecasting , 2017, ArXiv.
[28] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[29] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[30] Jieping Ye,et al. Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction , 2018, AAAI.
[31] Richard J. Mammone,et al. Meta-neural networks that learn by learning , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[32] Yu Zhang,et al. Transfer Learning via Learning to Transfer , 2018, ICML.
[33] Yu Zheng,et al. Deep Distributed Fusion Network for Air Quality Prediction , 2018, KDD.
[34] Eunho Yang,et al. Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning , 2018, ICLR.
[35] Gao Cong,et al. Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns , 2018, IJCAI.
[36] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[37] Zhenhui Li,et al. IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control , 2018, KDD.
[38] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[39] Feng Liu,et al. Cross-City Transfer Learning for Deep Spatio-Temporal Prediction , 2018, IJCAI.
[40] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[41] William-Chandra Tjhi,et al. Dual Fuzzy-Possibilistic Co-clustering for Document Categorization , 2007 .
[42] Qiang Yang,et al. Transfer Knowledge between Cities , 2016, KDD.
[43] Daniel Kifer,et al. Non-Stationary Model for Crime Rate Inference Using Modern Urban Data , 2019, IEEE Transactions on Big Data.
[44] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Fei Wu,et al. Interpreting traffic dynamics using ubiquitous urban data , 2016, SIGSPATIAL/GIS.
[46] João Gama,et al. Predicting Taxi–Passenger Demand Using Streaming Data , 2013, IEEE Transactions on Intelligent Transportation Systems.
[47] Bin Yu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017 .
[48] Jiayu Zhou,et al. GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction , 2016, SDM.
[49] Yi Yang,et al. Transductive Propagation Network for Few-shot Learning , 2018, ArXiv.