Minimal Gated Unit for Recurrent Neural Networks

31 March 2016

Papers citing "Minimal Gated Unit for Recurrent Neural Networks"

50 / 74 papers shown

Title
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs K. Jeziorek T. Kryjak AI4TS 44 0 0 12 May 2025
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo Ocheme Anthony Ekle Biswarup Das 34 0 0 24 Apr 2025
Minion Gated Recurrent Unit for Continual Learning Abdullah M. Zyarah Dhireesha Kudithipudi 47 0 0 08 Mar 2025
Gated Slot Attention for Efficient Linear-Time Sequence Modeling Yu Zhang Aaron Courville Ruijie Zhu Yue Zhang Leyang Cui ... Freda Shi Bailin Wang Wei Bi P. Zhou Guohong Fu 68 17 0 11 Sep 2024
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice Mohamed Hibat-Allah Ejaaz Merali G. Torlai R. Melko Juan Carrasquilla 16 3 0 30 May 2024
Liquid Resistance Liquid Capacitance Networks Mónika Farsang Sophie A. Neubauer Radu Grosu AI4TS 28 2 0 30 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting John A. Miller Mohammed Aldosari Farah Saeed Nasid Habib Barna Subas Rana I. Arpinar Ninghao Liu AI4TS AI4CE 43 20 0 25 Jan 2024
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification Nelly Elsayed Constantinos L. Zekios Navid Asadizanjani Zag ElSayed 21 0 0 13 Jan 2024
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference? Mónika Farsang Mathias Lechner David Lung Ramin Hasani Daniela Rus Radu Grosu 26 4 0 21 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 34 8 0 20 Nov 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 35 1 0 27 Sep 2023
Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications David Diaz-Guerra A. Politis A. Miguel J. R. Beltrán Tuomas Virtanen 26 0 0 14 Jun 2023
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments Felix Ott Lucas Heublein David Rügamer Bernd Bischl Christopher Mutschler 16 4 0 14 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 17 4 0 11 Apr 2023
Investigating Topological Order using Recurrent Neural Networks Mohamed Hibat-Allah R. Melko Juan Carrasquilla 10 11 0 20 Mar 2023
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting Zimeng Lyu Alexander Ororbia Travis J. Desell AI4TS 19 11 0 20 Feb 2023
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation Rahul Mishra Hari Prabhat Gupta 40 8 0 30 Sep 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 16 12 0 06 Aug 2022
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy Mohamed Hibat-Allah R. Melko Juan Carrasquilla 11 18 0 28 Jul 2022
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations Asem Alaa Erik Mayer Mauricio Barahona AI4CE 24 3 0 05 Jul 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 27 9 0 01 Jul 2022
What is the best RNN-cell structure for forecasting each time series behavior? Rohaifa Khaldi A. E. Afia R. Chiheb Siham Tabik AI4TS 22 1 0 15 Mar 2022
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting Zimeng Lyu Travis J. Desell AI4TS 19 6 0 27 Feb 2022
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation Wentao Lu Claude Sammut 21 0 0 08 Nov 2021
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions Shao-Qun Zhang Zhi-Hua Zhou AI4TS 22 3 0 08 Nov 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 29 18 0 30 Aug 2021
Gates Are Not What You Need in RNNs Ronalds Zakovskis Andis Draguns Eliza Gaile Emīls Ozoliņš Kārlis Freivalds 16 1 0 01 Aug 2021
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning Gaspard Lambrechts Florent De Geeter Nicolas Vecoven D. Ernst G. Drion 21 2 0 02 Jun 2021
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios E. Hardy F. Badets 19 3 0 08 Mar 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 35 2 0 04 Jan 2021
Continuous Ant-Based Neural Topology Search A. ElSaid Joshua Karns Zimeng Lyu Alexander Ororbia Travis J. Desell 8 3 0 21 Nov 2020
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution Zimeng Lyu A. ElSaid Joshua Karns Mohamed Wiem Mkaouer Travis J. Desell ODL 10 1 0 21 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 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
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation A. ElSaid Joshua Karns Alexander Ororbia Daniel E. Krutz Zimeng Lyu Travis J. Desell 8 0 0 04 Jun 2020
Learning Various Length Dependence by Dual Recurrent Neural Networks Chenpeng Zhang Shuai Li Mao Ye Ce Zhu Xue Li 27 6 0 28 May 2020
Improving Neuroevolution Using Island Extinction and Repopulation Zimeng Lyu Joshua Karns A. ElSaid Travis J. Desell 8 3 0 15 May 2020
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units Zhanzhan Cheng Yunlu Xu Mingjian Cheng Yu Qiao Shiliang Pu Yi Niu Fei Wu 16 8 0 26 Feb 2020
On Generalization Bounds of a Family of Recurrent Neural Networks Minshuo Chen Xingguo Li T. Zhao 19 70 0 28 Oct 2019
A Bayesian Approach to Recurrence in Neural Networks Philip N. Garner Sibo Tong BDL 16 5 0 24 Oct 2019
Deep Independently Recurrent Neural Network (IndRNN) Shuai Li Wanqing Li Chris Cook Yanbo Gao 23 50 0 11 Oct 2019
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks A. ElSaid Alexander Ororbia Travis J. Desell ODL 10 10 0 26 Sep 2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution Travis J. Desell A. ElSaid Alexander Ororbia 15 1 0 20 Sep 2019
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls José F. Rodrigues Gabriel Spadon Bruno Brandoli S. Amer-Yahia 16 7 0 10 Sep 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 45 290 0 29 May 2019
Improving Minimal Gated Unit for Sequential Data Kazuki Takamura S. Yamane 19 0 0 21 May 2019
Learning Longer-term Dependencies via Grouped Distributor Unit Wei Luo Feng Yu 18 2 0 29 Apr 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting Justice Amoh K. Odame 26 17 0 13 Feb 2019
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution Alexander Ororbia A. ElSaid Travis J. Desell 21 54 0 06 Feb 2019
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi-Hua Zhou AI4CE 18 69 0 25 Oct 2018