Kronecker Recurrent Units

29 May 2017

Papers citing "Kronecker Recurrent Units"

28 / 28 papers shown

Title
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 74 0 0 28 Jan 2025
Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks Hiroshi Mori Norimichi Ukita 30 0 0 23 Mar 2024
Quantized Approximately Orthogonal Recurrent Neural Networks Armand Foucault Franck Mamalet Franccois Malgouyres MQ 13 1 0 05 Feb 2024
Fast Kronecker Matrix-Matrix Multiplication on GPUs Abhinav Jangda Mohit Yadav 19 2 0 18 Jan 2024
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion Alexandru Meterez Amir Joudaki Francesco Orabona Alexander Immer Gunnar Rätsch Hadi Daneshmand 24 8 0 03 Oct 2023
Improve Long-term Memory Learning Through Rescaling the Error Temporally Shida Wang Zhanglu Yan 17 1 0 21 Jul 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 43 19 0 22 Jan 2023
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 19 117 0 29 May 2022
Stable Long-Term Recurrent Video Super-Resolution Benjamin Naoto Chiche Arnaud Woiselle J. Frontera-Pons Jean-Luc Starck SupR 16 5 0 16 Dec 2021
Least Redundant Gated Recurrent Neural Network Lukasz Neumann Lukasz Lepak Pawel Wawrzyñski BDL 23 0 0 28 May 2021
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization Antonio Carta A. Sperduti D. Bacciu ODL 15 0 0 05 Nov 2020
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm Yun Yue Ming Li Venkatesh Saligrama Ziming Zhang 6 4 0 12 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing T. Tanay Aivar Sootla Matteo Maggioni P. Dokania Philip H. S. Torr A. Leonardis Greg Slabaugh 16 7 0 10 Oct 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 17 107 0 22 Jun 2020
Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer Benjamin D. Steel 8 0 0 22 Nov 2019
Structured Sparsification of Gated Recurrent Neural Networks E. Lobacheva Nadezhda Chirkova Alexander Markovich Dmitry Vetrov 19 3 0 13 Nov 2019
Pushing the limits of RNN Compression Urmish Thakker Igor Fedorov Jesse G. Beu Dibakar Gope Chu Zhou Ganesh S. Dasika Matthew Mattina 14 13 0 04 Oct 2019
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification Dhrubojyoti Roy S. Srivastava Aditya Kusupati Pranshu Jain Manik Varma A. Arora 24 12 0 06 Sep 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 19 36 0 07 Jun 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks B. Chang Minmin Chen E. Haber Ed H. Chi PINN GNN 23 197 0 26 Feb 2019
Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs D. Gilboa B. Chang Minmin Chen Greg Yang S. Schoenholz Ed H. Chi Jeffrey Pennington 32 39 0 25 Jan 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network Aditya Kusupati Manish Singh Kush S. Bhatia A. Kumar Prateek Jain Manik Varma 14 189 0 08 Jan 2019
On the Equivalence of Convolutional and Hadamard Networks using DFT M. Crâsmaru 11 0 0 27 Oct 2018
h-detach: Modifying the LSTM Gradient Towards Better Optimization Devansh Arpit Bhargav Kanuparthi Giancarlo Kerg Nan Rosemary Ke Ioannis Mitliagkas Yoshua Bengio 15 32 0 06 Oct 2018
IGLOO: Slicing the Features Space to Represent Sequences Vsevolod Sourkov VLM 13 5 0 09 Jul 2018
Stable Recurrent Models John Miller Moritz Hardt 9 116 0 25 May 2018
ORGaNICs: A Theory of Working Memory in Brains and Machines D. Heeger Wayne E. Mackey 20 7 0 16 Mar 2018
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis Mingyuan Bai Boyan Zhang Junbin Gao 13 8 0 01 Aug 2017