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1702.05043
Cited By
Unbiased Online Recurrent Optimization
16 February 2017
Corentin Tallec
Yann Ollivier
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Papers citing
"Unbiased Online Recurrent Optimization"
28 / 28 papers shown
Title
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Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
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Wei Long
Jingbo Lu
Shiyin Jiang
Weiyi You
Haifeng Wu
Shuhang Gu
48
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0
04 May 2025
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
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
Joao Bravo
Jacopo Bono
Pedro Saleiro
Hugo Ferreira
P. Bizarro
45
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0
31 Dec 2024
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
Julian Lemmel
Radu Grosu
34
2
0
08 Nov 2023
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
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
45
60
0
09 Oct 2022
Amortized Proximal Optimization
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
29
14
0
28 Feb 2022
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
Frederik Benzing
ODL
43
23
0
28 Jan 2022
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
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
27
67
0
27 Dec 2021
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
Antonio Carta
A. Sperduti
D. Bacciu
CLL
28
10
0
29 Jun 2020
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
O. Marschall
Kyunghyun Cho
Cristina Savin
FedML
36
72
0
05 Jul 2019
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
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
Alexander Ororbia
A. Mali
C. Lee Giles
Daniel Kifer
21
63
0
17 Oct 2018
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
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
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
Corentin Tallec
Yann Ollivier
25
75
0
23 May 2017
Online Natural Gradient as a Kalman Filter
Yann Ollivier
34
67
0
01 Mar 2017
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
B. Scellier
Yoshua Bengio
22
481
0
16 Feb 2016
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