How to Construct Deep Recurrent Neural Networks

20 December 2013

Papers citing "How to Construct Deep Recurrent Neural Networks"

50 / 99 papers shown

Title
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities Mingyu Jin Hua Tang Chong Zhang Qinkai Yu Chengzhi Liu Suiyuan Zhu Yongfeng Zhang Jundong Li AI4TS 112 27 0 31 Dec 2024
Time Series Generative Learning with Application to Brain Imaging Analysis Zhenghao Li Sanyou Wu Long Feng MedIm 41 0 0 19 Jul 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 93 1 0 04 Apr 2024
Financial Table Extraction in Image Documents W. Watson Bo Liu 30 4 0 18 Mar 2024
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks Reinhard Booysen Anna Sergeevna Bosman 40 1 0 17 Mar 2024
Supplementary Features of BiLSTM for Enhanced Sequence Labeling Conglei Xu Kun Shen Hongguang Sun 24 5 0 31 May 2023
Kullback-Leibler Divergence and Akaike Information Criterion in General Hidden Markov Models C. Fuh C. Kao T. Pang 14 0 0 14 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Class-Specific Attention (CSA) for Time-Series Classification Yifan Hao H. Cao K. S. Candan Jiefei Liu Huiying Chen Ziwei Ma AI4TS 6 0 0 19 Nov 2022
Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms Sebastian Basterrech T. Sharma 11 1 0 11 Nov 2022
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 26 3 0 01 Nov 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 20 9 0 09 Sep 2022
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks Shanghua Gao Zhong-Yu Li Qi Han Ming-Ming Cheng Liang Wang 32 34 0 14 Jun 2022
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series Aref Hakimzadeh K. Ziarati M. Taheri AI4TS 6 0 0 10 Apr 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 38 2 0 23 Feb 2022
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models Hala Hamdoun A. Sagheer Hassan A. Youness AI4TS 23 9 0 24 Aug 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
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks Tai-Yu Ma S. Faye 17 90 0 09 Jun 2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data Massimiliano Lupo Pasini Vittorio Gabbi Junqi Yin S. Perotto N. Laanait GAN AI4CE 24 3 0 21 Feb 2021
SensPick: Sense Picking for Word Sense Disambiguation S. Zobaed Md. Enamul Haque Md Fazle Rabby M. Salehi 8 6 0 10 Feb 2021
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction Md Fazle Rabby Yazhou Tu Md. Imran Hossen Insup Lee Anthony Maida X. Hei 32 114 0 18 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
A non-autonomous equation discovery method for time signal classification Ryeongkyung Yoon Harish S. Bhat Braxton Osting 17 2 0 22 Nov 2020
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models Zhiyong He Zanbo Wang Wei Wei Shanshan Feng Xian-Ling Mao Sheng Jiang VLM 36 28 0 13 Nov 2020
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback Zhenyu Liu Mason del Rosario Z. Ding 19 41 0 20 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Discrete-time signatures and randomness in reservoir computing Christa Cuchiero Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega Josef Teichmann 21 45 0 17 Sep 2020
Pooling Methods in Deep Neural Networks, a Review Hossein Gholamalinezhad H. Khosravi 24 215 0 16 Sep 2020
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS Pietro Boccadoro Daniele Vitanio Pietro Di Gennaro Domenico Lofú Pietro Tedeschi 14 20 0 27 Jul 2020
Dimension reduction in recurrent networks by canonicalization Lyudmila Grigoryeva Juan-Pablo Ortega 24 19 0 23 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 13 18 0 29 Jun 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment Javier Del Ser I. Laña Eric L. Manibardo I. Oregi E. Osaba J. Lobo Miren Nekane Bilbao E. Vlahogianni 30 16 0 17 Apr 2020
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning Lama Alfaseeh R. Tu Bilal Farooq M. Hatzopoulou 16 46 0 16 Apr 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 45 61 0 27 Feb 2020
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 31 584 0 25 Sep 2019
Reservoir Topology in Deep Echo State Networks Claudio Gallicchio A. Micheli 14 14 0 24 Sep 2019
Deep Learning for Time Series Forecasting: The Electric Load Case Alberto Gasparin S. Lukovic Cesare Alippi AI4TS 27 220 0 22 Jul 2019
Insights into LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi AI4TS 27 168 0 27 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction Jinyin Chen Jian Zhang Xuanheng Xu Chenbo Fu Dan Zhang Qingpeng Zhang Qi Xuan 21 142 0 22 Feb 2019
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey Jithin Jagannath Nicholas Polosky Anu Jagannath Francesco Restuccia Tommaso Melodia 27 227 0 23 Jan 2019
How Much Does Tokenization Affect Neural Machine Translation? Miguel Domingo Mercedes García-Martínez A. Helle F. Casacuberta Manuel Herranz 4 55 0 20 Dec 2018
Real-time Power System State Estimation and Forecasting via Deep Neural Networks Liang Zhang G. Wang G. Giannakis AI4TS 21 183 0 15 Nov 2018
Active Learning for Interactive Neural Machine Translation of Data Streams Álvaro Peris F. Casacuberta AI4CE 19 60 0 30 Jul 2018
The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Jan M. Köhler Thomas Pfeil 19 16 0 13 Jun 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 30 209 0 05 Jun 2018
Producing radiologist-quality reports for interpretable artificial intelligence William Gale Luke Oakden-Rayner G. Carneiro A. Bradley L. Palmer MedIm 19 46 0 01 Jun 2018
Grow and Prune Compact, Fast, and Accurate LSTMs Xiaoliang Dai Hongxu Yin N. Jha VLM SyDa 23 90 0 30 May 2018
An Overview of Lead and Accompaniment Separation in Music Z. Rafii Antoine Liutkus Fabian-Robert Stöter S. I. Mimilakis D. Fitzgerald Bryan Pardo 22 102 0 23 Apr 2018
Reservoir computing approaches for representation and classification of multivariate time series F. Bianchi Simone Scardapane Sigurd Løkse Robert Jenssen AI4TS 22 140 0 21 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 42 4,715 0 04 Mar 2018