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A Practical Sparse Approximation for Real Time Recurrent Learning

A Practical Sparse Approximation for Real Time Recurrent Learning

12 June 2020
Jacob Menick
Erich Elsen
Utku Evci
Simon Osindero
Karen Simonyan
Alex Graves
ArXiv (abs)PDFHTML

Papers citing "A Practical Sparse Approximation for Real Time Recurrent Learning"

16 / 16 papers shown
Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
Agnes Korcsak-Gorzo
Jesús A. Espinoza Valverde
J. Stapmanns
Hans Ekkehard Plesser
David Dahmen
Matthias Bolten
Sacha Jennifer van Albada
M. Diesmann
137
0
0
26 Nov 2025
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Yuhan Helena Liu
Guangyu Robert Yang
Christopher J. Cueva
260
0
0
07 Jun 2025
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
A Truly Sparse and General Implementation of Gradient-Based Synaptic PlasticityNeuro Inspired Computational Elements Workshop (NICE), 2025
Jamie Lohoff
Anil Kaya
Florian Assmuth
Emre Neftci
368
2
0
20 Jan 2025
Future frame prediction in chest and liver cine MRI using the PCA respiratory motion model: comparing transformers and dynamically trained recurrent neural networks
Future frame prediction in chest and liver cine MRI using the PCA respiratory motion model: comparing transformers and dynamically trained recurrent neural networks
Michel Pohl
Mitsuru Uesaka
Hiroyuki Takahashi
K. Demachi
R. B. Chhatkuli
163
0
0
08 Oct 2024
Hard ASH: Sparsity and the right optimizer make a continual learner
Hard ASH: Sparsity and the right optimizer make a continual learner
Santtu Keskinen
CLL
190
1
0
26 Apr 2024
Estimating Post-Synaptic Effects for Online Training of Feed-Forward
  SNNs
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs
Thomas M. Summe
Clemens J. S. Schaefer
Siddharth Joshi
292
2
0
07 Nov 2023
Online learning of long-range dependencies
Online learning of long-range dependenciesNeural Information Processing Systems (NeurIPS), 2023
Nicolas Zucchet
Robert Meier
Simon Schug
Asier Mujika
João Sacramento
CLL
286
29
0
25 May 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive
  Networks
Scalable Real-Time Recurrent Learning Using Columnar-Constructive NetworksJournal of machine learning research (JMLR), 2023
Khurram Javed
Haseeb Shah
R. Sutton
Martha White
257
10
0
20 Jan 2023
RNN(p) for Power Consumption Forecasting
RNN(p) for Power Consumption Forecasting
R. Baviera
Pietro Manzoni
AI4TS
267
0
0
03 Sep 2022
Biologically-plausible backpropagation through arbitrary timespans via
  local neuromodulators
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulatorsNeural Information Processing Systems (NeurIPS), 2022
Yuhan Helena Liu
Stephen Smith
Stefan Mihalas
E. Shea-Brown
Uygar Sumbul
281
13
0
02 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal
  credit assignment rules
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rulesNeural Information Processing Systems (NeurIPS), 2022
Yuhan Helena Liu
Arna Ghosh
Blake A. Richards
E. Shea-Brown
Guillaume Lajoie
517
10
0
02 Jun 2022
Learning Agent State Online with Recurrent Generate-and-Test
Learning Agent State Online with Recurrent Generate-and-Test
Alireza Samani
R. Sutton
CLLOffRL
127
2
0
30 Dec 2021
Unbiased Gradient Estimation in Unrolled Computation Graphs with
  Persistent Evolution Strategies
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution StrategiesInternational Conference on Machine Learning (ICML), 2021
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
292
75
0
27 Dec 2021
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling
Mateusz Malinowski
Dimitrios Vytiniotis
G. Swirszcz
Viorica Patraucean
João Carreira
192
8
0
15 Jun 2021
Prediction of the Position of External Markers Using a Recurrent Neural
  Network Trained With Unbiased Online Recurrent Optimization for Safe Lung
  Cancer Radiotherapy
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy
Michel Pohl
Mitsuru Uesaka
Hiroyuki Takahashi
K. Demachi
R. B. Chhatkuli
467
9
0
02 Jun 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
276
96
0
22 Oct 2020
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