Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting

19 May 2020

Papers citing "Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting"

16 / 16 papers shown

Title
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey Xingjian Shi Dit-Yan Yeung AI4TS 42 86 0 21 Aug 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang Zhifeng Gao Mingsheng Long Jianmin Wang Philip S. Yu 102 472 0 17 Apr 2018
Long-term Forecasting using Higher Order Tensor RNNs Rose Yu Stephan Zheng Anima Anandkumar Yisong Yue AI4TS 39 132 0 31 Oct 2017
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Amir Ghaderi B. M. Sanandaji Faezeh Ghaderi 23 108 0 24 Jul 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model Xingjian Shi Zhihan Gao Leonard Lausen Hao Wang Dit-Yan Yeung W. Wong W. Woo 42 794 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 69 2,069 0 13 Apr 2017
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks Junbo Zhang Yu Zheng Dekang Qi Ruiyuan Li Xiuwen Yi Tianrui Li GNN 3DPC HAI AI4TS 20 431 0 10 Jan 2017
Video Pixel Networks Nal Kalchbrenner Aaron van den Oord Karen Simonyan Ivo Danihelka Oriol Vinyals Alex Graves Koray Kavukcuoglu 50 423 0 03 Oct 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 66 1,008 0 31 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 48 1,042 0 23 May 2016
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 68 1,610 0 20 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 445 7,952 0 13 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 107 2,024 0 09 Jun 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 110 2,586 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 266 20,467 0 10 Sep 2014