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Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

19 September 2019

Papers citing "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

30 / 30 papers shown

Title
An End-to-End Framework for Optimizing Foot Trajectory and Force in Dry Adhesion Legged Wall-Climbing Robots Jichun Xiao Jiawei Nie Lina Hao Zhi Li 157 0 0 28 Apr 2025
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 107 1,420 0 29 Jun 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 74 174 0 28 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 102 357 0 09 May 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 77 69 0 18 Jan 2019
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders Abubakar Abid James Zou AI4TS 50 42 0 23 Oct 2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert Nicolas Thome Matthieu Cord 87 39 0 30 Jul 2018
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox Lynn Ang M. Jaiswal R. Pop-Busui Jenna Wiens OOD AI4TS 92 78 0 14 Jun 2018
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction Yunzhe Tao Lin Ma Weizhong Zhang Jian-Dong Liu Wen Liu Q. Du AI4TS 102 26 0 02 Jun 2018
Foundations of Sequence-to-Sequence Modeling for Time Series Vitaly Kuznetsov Zelda E. Mariet AI4TS BDL 54 56 0 09 May 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 60 131 0 11 Feb 2018
A Multi-Horizon Quantile Recurrent Forecaster Ruofeng Wen Kari Torkkola Balakrishnan Narayanaswamy Dhruv Madeka BDL AI4TS 59 432 0 29 Nov 2017
Long-term Forecasting using Higher Order Tensor RNNs Rose Yu Stephan Zheng Anima Anandkumar Yisong Yue AI4TS 50 133 0 31 Oct 2017
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Amir Ghaderi B. M. Sanandaji Faezeh Ghaderi 49 108 0 24 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 81 2,112 0 13 Apr 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 172 1,233 0 07 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 106 2,007 0 21 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 55 474 0 14 Mar 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 169 623 0 05 Mar 2017
Consistent change-point detection with kernels Damien Garreau Sylvain Arlot 68 79 0 14 Dec 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,399 0 12 Sep 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 121 1,247 0 19 Aug 2016
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses Jiaqian Yu Matthew Blaschko 64 38 0 24 Dec 2015
Scan $B$ -Statistic for Kernel Change-Point Detection Shuang Li Yao Xie H. Dai Le Song 83 109 0 05 Jul 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,568 0 10 Sep 2014
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 1.0K 23,354 0 03 Jun 2014
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression Yukun Bao Tao Xiong Zhongyi Hu 53 217 0 11 Jan 2014
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition Souhaib Ben Taieb Gianluca Bontempi A. Atiya A. Sorjamaa AI4TS 97 595 0 16 Aug 2011