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A Unified Framework of Online Learning Algorithms for Training Recurrent
  Neural Networks

A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks

5 July 2019
O. Marschall
Kyunghyun Cho
Cristina Savin
    FedML
ArXivPDFHTML

Papers citing "A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks"

11 / 11 papers shown
Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
102
0
0
27 Mar 2025
A Unified Framework for Neural Computation and Learning Over Time
A Unified Framework for Neural Computation and Learning Over Time
S. Melacci
Alessandro Betti
Michele Casoni
Tommaso Guidi
Matteo Tiezzi
Marco Gori
AI4TS
28
0
0
18 Sep 2024
Backpropagation through space, time, and the brain
Backpropagation through space, time, and the brain
B. Ellenberger
Paul Haider
Jakob Jordan
Kevin Max
Ismael Jaras
Laura Kriener
Federico Benitez
Mihai A. Petrovici
102
8
0
25 Mar 2024
Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline
Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline
Lampis Alevizos
Martijn Dekker
32
10
0
05 Mar 2024
Real-Time Recurrent Reinforcement Learning
Real-Time Recurrent Reinforcement Learning
Julian Lemmel
Radu Grosu
21
1
0
08 Nov 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
30
16
0
25 Apr 2023
Tree-Based Learning in RNNs for Power Consumption Forecasting
Tree-Based Learning in RNNs for Power Consumption Forecasting
R. Baviera
Pietro Manzoni
AI4TS
14
0
0
03 Sep 2022
Online Variational Filtering and Parameter Learning
Online Variational Filtering and Parameter Learning
Andrew Campbell
Yuyang Shi
Tom Rainforth
Arnaud Doucet
BDL
20
21
0
26 Oct 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight
  Alignment Perspective
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy
Ila Fiete
16
9
0
15 Jun 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
29
87
0
22 Oct 2020
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,923
0
17 Aug 2015
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