Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

20 January 2017

Papers citing "Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks"

40 / 190 papers shown

Title
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 31 85 0 25 Jun 2021
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection Andrea Corsini S. Yang Giovanni Apruzzese 14 16 0 15 Jun 2021
English to Bangla Machine Translation Using Recurrent Neural Network Shaykh Siddique Tahmid Ahmed Md. Rifayet Azam Talukder Md. Mohsin Uddin 13 16 0 14 Jun 2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication Won Joon Yun Byungju Lim Soyi Jung Young-Chai Ko Jihong Park Joongheon Kim M. Bennis 28 33 0 22 May 2021
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods Nooshin Ayoobi Danial Sharifrazi R. Alizadehsani A. Shoeibi Juan M Gorriz ... S. Nahavandi A. G. Chofreh Feybi Ariani Goni J. Klemeš Amir H. Mosavi AI4TS 44 101 0 28 Apr 2021
Dominant motion identification of multi-particle system using deep learning from video Yayati Jadhav Amir Barati Farimani 29 4 0 26 Apr 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 17 36 0 20 Apr 2021
UnICORNN: A recurrent model for learning very long time dependencies T. Konstantin Rusch Siddhartha Mishra 24 60 0 09 Mar 2021
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters Mohita Chaudhary Mohamed Sadok Gastli Lobna Nassar Fakhri Karray 6 7 0 17 Feb 2021
Online Co-movement Pattern Prediction in Mobility Data A. Tritsarolis Eva Chondrodima Panagiotis Tampakis A. Pikrakis 16 4 0 17 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model Mohammadreza Ebrahimi Ning Zhang Junjie Hu M. T. Raza Hsinchun Chen AAML 22 28 0 14 Dec 2020
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors Anton Smerdov Evgeny Burnaev A. Somov Anton Stepanov 16 1 0 07 Dec 2020
Rule-embedded network for audio-visual voice activity detection in live musical video streams Yuanbo Hou Yi Deng Bilei Zhu Zejun Ma Dick Botteldooren 16 3 0 27 Oct 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch Siddhartha Mishra 30 89 0 02 Oct 2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning Ming Yan Xueli Xiao Qiufeng Wang Yi Pan 31 0 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks Shreshth Tuli Shashikant Ilager K. Ramamohanarao Rajkumar Buyya 27 176 0 01 Sep 2020
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting Yueyang Wang Ziheng Duan Yida Huang Haoyan Xu Jie Feng Anni Ren BDL AI4TS 14 31 0 19 Aug 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification N. H. Phong B. Ribeiro VLM 32 8 0 30 Jul 2020
Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning Iksung Kang A. Goy George Barbastathis AI4CE 24 19 0 21 Jul 2020
A bio-inspired bistable recurrent cell allows for long-lasting memory Nicolas Vecoven D. Ernst G. Drion RALM 13 18 0 09 Jun 2020
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning Ahmed A. Shafee M. Fouda Mohamed Mahmoud Waleed S. Alasmary A. Aljohani Fathi H. Amsaad 31 0 0 28 May 2020
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks Oguzhan Karaahmetoglu Fatih Ilhan Ismail Balaban Suleyman Serdar Kozat AI4TS 13 6 0 25 May 2020
Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning Utkarsh Srivastava D. Upadhyay Vinayak Sharma FedML 8 5 0 10 May 2020
ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments S. Gill Shreshth Tuli A. N. Toosi Félix Cuadrado Peter Garraghan ... H. Lutfiyya R. Sakellariou Omer F. Rana Schahram Dustdar Rajkumar Buyya 12 51 0 17 Apr 2020
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 137 127 0 03 Mar 2020
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting Shuo Wang Yanran Li Jiang Zhang Qingye Meng Lingwei Meng Fei Gao 32 134 0 10 Feb 2020
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning Bingbing Sun T. Alkhalifah 29 18 0 08 Feb 2020
Pelican: A Deep Residual Network for Network Intrusion Detection Peilun Wu Hui Guo Nour Moustafa 12 35 0 19 Jan 2020
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment Behnoosh Parsa Athma Narayanan Behzad Dariush 3DH 35 20 0 07 Dec 2019
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling Wojciech Masarczyk P. Głomb B. Grabowski M. Ostaszewski 11 3 0 12 Sep 2019
Estimating Forces of Robotic Pouring Using a LSTM RNN Kyle Mott 11 0 0 21 Apr 2019
Topology-based Representative Datasets to Reduce Neural Network Training Resources Rocio Gonzalez-Diaz Miguel A. Gutiérrez-Naranjo Eduardo Paluzo-Hidalgo DD 17 9 0 20 Mar 2019
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer Daniel Kent F. Salem 11 27 0 02 Jan 2019
SLIM LSTMs F. Salem 14 4 0 29 Dec 2018
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction M. Z. Khan Sakib Chowdhury M. Chowdhury Kakan C. Dey AI4TS 16 42 0 15 Aug 2018
MCRM: Mother Compact Recurrent Memory Abduallah A. Mohamed Christian G. Claudel 25 1 0 04 Aug 2018
Gear Training: A new way to implement high-performance model-parallel training Hao Dong Shuai Li D. Xu Yi Ren Di Zhang 19 1 0 11 Jun 2018
Image Recognition Using Scale Recurrent Neural Networks Dong-Qing Zhang ObjD 6 4 0 25 Mar 2018