Dilated Recurrent Neural Networks

5 October 2017

Thomas S. Huang

Papers citing "Dilated Recurrent Neural Networks"

50 / 113 papers shown

Title
Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition Nhat Truong Pham Duc Ngoc Minh Dang Sy Dzung Nguyen 8 35 0 18 Sep 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han Cheng Wang Kaushik Roy 26 7 0 14 Sep 2021
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation Nicolas Valenchon Yann Bouteiller Hugo R. Jourde Xavier L'Heureux Milo Sobral Emily B. J. Coffey Giovanni Beltrame 9 12 0 28 Jul 2021
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN Haowei Jiang Fei-wei Qin Jin Cao Yong Peng Yanli Shao LRM ODL 16 42 0 22 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 33 38 0 18 Jun 2021
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting Cristian Challu Kin G. Olivares Gus Welter A. Dubrawski AI4TS 13 1 0 07 Jun 2021
Least Redundant Gated Recurrent Neural Network Lukasz Neumann Lukasz Lepak Pawel Wawrzyñski BDL 23 0 0 28 May 2021
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx Kin G. Olivares Cristian Challu Grzegorz Marcjasz R. Weron A. Dubrawski AI4TS 26 131 0 12 Apr 2021
UnICORNN: A recurrent model for learning very long time dependencies T. Konstantin Rusch Siddhartha Mishra 16 59 0 09 Mar 2021
CKConv: Continuous Kernel Convolution For Sequential Data David W. Romero Anna Kuzina Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 20 123 0 04 Feb 2021
Variational Neural Annealing Mohamed Hibat-Allah E. Inack R. Wiersema R. Melko Juan Carrasquilla DRL 6 80 0 25 Jan 2021
Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures Abhijit Mahalunkar John D. Kelleher 19 0 0 08 Dec 2020
Hierarchical reinforcement learning for efficient exploration and transfer Lorenzo Steccanella Simone Totaro Damien Allonsius Anders Jonsson BDL 17 8 0 12 Nov 2020
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling Shu Jiang Yu Wang Longtao Lin Weiman Lin Yu Cao Jinghao Miao Qi Luo 17 2 0 01 Nov 2020
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm Yun Yue Ming Li Venkatesh Saligrama Ziming Zhang 11 4 0 12 Oct 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch Siddhartha Mishra 19 88 0 02 Oct 2020
Neural Rough Differential Equations for Long Time Series James Morrill C. Salvi Patrick Kidger James Foster Terry Lyons AI4TS 23 122 0 17 Sep 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 19 484 0 17 Aug 2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model Stefan Heinrich Yuan Yao Tobias Hinz Zhiyuan Liu Thomas Hummel Matthias Kerzel C. Weber S. Wermter LM&Ro 23 19 0 24 Jun 2020
Generating Realistic Stock Market Order Streams Junyi Li Xintong Wang Yaoyang Lin Arunesh Sinha Michael P. Wellman GAN AIFin 18 81 0 07 Jun 2020
Do RNN and LSTM have Long Memory? Jingyu Zhao Feiqing Huang Jia Lv Yanjie Duan Zhen Qin Guodong Li Guangjian Tian 17 140 0 06 Jun 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation Taiyu Zhu Kezhi Li P. Herrero Pantelis Georgiou 8 79 0 18 May 2020
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks M. Dixon AI4TS 13 14 0 09 Apr 2020
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting Grzegorz Dudek Paweł Pełka Slawek Smyl 11 45 0 29 Mar 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting J. Dabrowski Yifan Zhang Ashfaqur Rahman AI4TS 6 36 0 11 Feb 2020
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling Ruizhe Zhao Brian K. Vogel Tanvir Ahmed Wayne Luk 17 37 0 14 Nov 2019
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems Yiwei Fu S. Saab A. Ray Michael Hauser AI4CE 17 8 0 31 Oct 2019
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu Çağlar Gülçehre T. Paine Matthew W. Hoffman Razvan Pascanu AI4CE 9 2 0 22 Oct 2019
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation Yi Luo Zhuo Chen Takuya Yoshioka AI4TS 12 752 0 14 Oct 2019
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning Taiyu Zhu Kezhi Li Pantelis Georgiou OffRL 17 8 0 09 Oct 2019
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? Anil Kag Ziming Zhang Venkatesh Saligrama 11 8 0 22 Aug 2019
R-Transformer: Recurrent Neural Network Enhanced Transformer Z. Wang Yao Ma Zitao Liu Jiliang Tang ViT 11 105 0 12 Jul 2019
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm A. Redd Kaung Khin Aldo Marini AI4TS 14 12 0 07 Jul 2019
Dilated Convolution with Dilated GRU for Music Source Separation Jen-Yu Liu Yi-Hsuan Yang 10 41 0 04 Jun 2019
Improved memory in recurrent neural networks with sequential non-normal dynamics A. Orhan Xaq Pitkow 8 13 0 31 May 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 9 1,009 0 24 May 2019
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs Francois Belletti Minmin Chen Ed H. Chi AI4TS 6 21 0 23 May 2019
Learning Longer-term Dependencies via Grouped Distributor Unit Wei Luo Feng Yu 11 2 0 29 Apr 2019
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks Santiago Pascual Mirco Ravanelli Joan Serra A. Bonafonte Yoshua Bengio SSL 18 250 0 06 Apr 2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling Ting Yu Haoteng Yin Zhanxing Zhu AI4TS GNN 19 55 0 13 Mar 2019
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability Ziming Zhang Anil Kag Alan Sullivan Venkatesh Saligrama 23 5 0 02 Mar 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 15 9 0 15 Feb 2019
State-Regularized Recurrent Neural Networks Cheng Wang Mathias Niepert 18 39 0 25 Jan 2019
Reducing state updates via Gaussian-gated LSTMs Matthew Thornton Jithendar Anumula Shih-Chii Liu 19 1 0 22 Jan 2019
Learning to Remember More with Less Memorization Hung Le T. Tran Svetha Venkatesh 19 38 0 05 Jan 2019
Recurrently Controlled Recurrent Networks Yi Tay Anh Tuan Luu S. Hui 28 16 0 24 Nov 2018
Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands CJ Carr Zack Zukowski MGen 6 20 0 16 Nov 2018
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks Chang Xu Weiran Huang Hongwei Wang G. Wang Tie-Yan Liu 8 13 0 13 Nov 2018
Long Short-Term Memory with Dynamic Skip Connections Tao Gui Qi Zhang Lujun Zhao Y. Lin Minlong Peng Jingjing Gong Xuanjing Huang 29 27 0 09 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series Qiang Zhang Kyle Birkeland Yaodong Yang Y. Liu 16 9 0 08 Nov 2018