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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
ArXivPDFHTML

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

5 / 5 papers shown
Title
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
Jamie Lohoff
Anil Kaya
Florian Assmuth
Emre Neftci
40
0
0
20 Jan 2025
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
37
1
0
26 Apr 2024
Tree-Based Learning in RNNs for Power Consumption Forecasting
Tree-Based Learning in RNNs for Power Consumption Forecasting
R. Baviera
Pietro Manzoni
AI4TS
19
0
0
03 Sep 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with
  Persistent Evolution Strategies
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
24
67
0
27 Dec 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
87
0
22 Oct 2020
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