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Unbiased Online Recurrent Optimization

Unbiased Online Recurrent Optimization

16 February 2017
Corentin Tallec
Yann Ollivier
ArXivPDFHTML

Papers citing "Unbiased Online Recurrent Optimization"

28 / 28 papers shown
Title
On Unbiased Low-Rank Approximation with Minimum Distortion
On Unbiased Low-Rank Approximation with Minimum Distortion
Leighton Barnes
Stephen Cameron
Benjamin Howard
19
0
0
12 May 2025
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
Xingyu Zhou
Wei Long
Jingbo Lu
Shiyin Jiang
Weiyi You
Haifeng Wu
Shuhang Gu
48
0
0
04 May 2025
Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology
Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology
Andrea Esposito
Miriana Calvano
Antonio Curci
Francesco Greco
Rosa Lanzilotti
Antonio Piccinno
28
0
0
07 Apr 2025
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Samuel Chun-Hei Lam
Justin A. Sirignano
K. Spiliopoulos
58
0
0
14 Jan 2025
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Joao Bravo
Jacopo Bono
Pedro Saleiro
Hugo Ferreira
P. Bizarro
45
0
0
31 Dec 2024
Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in
  Selective State Space Models
Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in Selective State Space Models
Jiahao Qin
Mamba
AI4CE
28
1
0
17 Sep 2024
Real-Time Recurrent Reinforcement Learning
Real-Time Recurrent Reinforcement Learning
Julian Lemmel
Radu Grosu
34
2
0
08 Nov 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
Oscar Li
James Harrison
Jascha Narain Sohl-Dickstein
Virginia Smith
Luke Metz
54
5
0
21 Apr 2023
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
45
60
0
09 Oct 2022
Amortized Proximal Optimization
Amortized Proximal Optimization
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
29
14
0
28 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
Frederik Benzing
ODL
43
23
0
28 Jan 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy
  Image Compression Systems
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
A. Mali
Alexander Ororbia
Daniel Kifer
L. Giles
19
4
0
27 Jan 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
27
67
0
27 Dec 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
89
0
22 Oct 2020
Incremental Training of a Recurrent Neural Network Exploiting a
  Multi-Scale Dynamic Memory
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
Antonio Carta
A. Sperduti
D. Bacciu
CLL
28
10
0
29 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation
  Graphs
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
30
118
0
07 Jun 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent
  Neural Networks
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
O. Marschall
Kyunghyun Cho
Cristina Savin
FedML
36
72
0
05 Jul 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient
  Bias
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher
N. Foti
E. Fox
MQ
30
32
0
17 May 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing
M. Gauy
Asier Mujika
A. Martinsson
Angelika Steger
23
22
0
11 Feb 2019
Continual Learning of Recurrent Neural Networks by Locally Aligning
  Distributed Representations
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Alexander Ororbia
A. Mali
C. Lee Giles
Daniel Kifer
21
63
0
17 Oct 2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Asier Mujika
Florian Meier
Angelika Steger
19
60
0
28 May 2018
Low-pass Recurrent Neural Networks - A memory architecture for
  longer-term correlation discovery
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery
T. Stepleton
Razvan Pascanu
Will Dabney
Siddhant M. Jayakumar
Hubert Soyer
Rémi Munos
16
4
0
13 May 2018
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent
  Networks
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke
Anirudh Goyal
O. Bilaniuk
Jonathan Binas
Laurent Charlin
C. Pal
Yoshua Bengio
30
15
0
07 Nov 2017
Unbiasing Truncated Backpropagation Through Time
Unbiasing Truncated Backpropagation Through Time
Corentin Tallec
Yann Ollivier
25
75
0
23 May 2017
Online Natural Gradient as a Kalman Filter
Online Natural Gradient as a Kalman Filter
Yann Ollivier
34
67
0
01 Mar 2017
Decoupled Neural Interfaces using Synthetic Gradients
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg
Wojciech M. Czarnecki
Simon Osindero
Oriol Vinyals
Alex Graves
David Silver
Koray Kavukcuoglu
44
353
0
18 Aug 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models
  and Backpropagation
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
B. Scellier
Yoshua Bengio
22
481
0
16 Feb 2016
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