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Unbiased Online Recurrent Optimization
v1v2v3 (latest)

Unbiased Online Recurrent Optimization

International Conference on Learning Representations (ICLR), 2017
16 February 2017
Corentin Tallec
Yann Ollivier
ArXiv (abs)PDFHTML

Papers citing "Unbiased Online Recurrent Optimization"

50 / 64 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
124
0
0
26 Nov 2025
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Maximilian Baronig
Yeganeh Bahariasl
Ozan Özdenizci
Robert Legenstein
160
2
0
17 Jun 2025
Learning long range dependencies through time reversal symmetry breaking
Guillaume Pourcel
Maxence Ernoult
351
3
0
05 Jun 2025
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization
Francois Chaubard
Mykel J. Kochenderfer
MQAI4CE
387
3
0
23 May 2025
On Unbiased Low-Rank Approximation with Minimum Distortion
On Unbiased Low-Rank Approximation with Minimum Distortion
Leighton Barnes
Stephen Cameron
Benjamin Howard
139
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
264
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 RhinocytologyInternational Symposium on End-User Development (IS-EUD), 2025
Andrea Esposito
Miriana Calvano
Antonio Curci
Francesco Greco
Rosa Lanzilotti
Antonio Piccinno
330
2
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
223
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
163
1
0
31 Dec 2024
Future frame prediction in chest cine MR imaging using the PCA
  respiratory motion model and dynamically trained recurrent neural networks
Future frame prediction in chest cine MR imaging using the PCA respiratory motion model and dynamically trained recurrent neural networks
Michel Pohl
Mitsuru Uesaka
Hiroyuki Takahashi
K. Demachi
R. B. Chhatkuli
161
0
0
08 Oct 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
MambaAI4CE
151
1
0
17 Sep 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Real-Time Recurrent Learning using Trace Units in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Esraa Elelimy
Adam White
Michael Bowling
Martha White
OffRL
350
5
0
02 Sep 2024
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
Wenhao Li
Mingbao Lin
Mingliang Xu
Shuicheng Yan
Rongrong Ji
332
0
0
26 Jun 2024
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy
Michel Pohl
Mitsuru Uesaka
Hiroyuki Takahashi
K. Demachi
R. B. Chhatkuli
303
2
0
03 Mar 2024
Real-Time Recurrent Reinforcement Learning
Real-Time Recurrent Reinforcement Learning
Julian Lemmel
Radu Grosu
401
5
0
08 Nov 2023
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
278
2
0
07 Nov 2023
Exploring the Promise and Limits of Real-Time Recurrent Learning
Exploring the Promise and Limits of Real-Time Recurrent LearningInternational Conference on Learning Representations (ICLR), 2023
Kazuki Irie
Anand Gopalakrishnan
Jürgen Schmidhuber
276
20
0
30 May 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
283
29
0
25 May 2023
Low-Variance Gradient Estimation in Unrolled Computation Graphs with
  ES-Single
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-SingleInternational Conference on Machine Learning (ICML), 2023
Paul Vicol
Zico Kolter
Kevin Swersky
192
8
0
21 Apr 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution StrategiesNeural Information Processing Systems (NeurIPS), 2023
Oscar Li
James Harrison
Jascha Narain Sohl-Dickstein
Virginia Smith
Luke Metz
253
8
0
21 Apr 2023
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
497
418
0
11 Mar 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
251
10
0
20 Jan 2023
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
283
90
0
09 Oct 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
248
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
506
10
0
02 Jun 2022
Beyond backpropagation: bilevel optimization through implicit
  differentiation and equilibrium propagation
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagationNeural Computation (Neural Comput.), 2022
Nicolas Zucchet
João Sacramento
367
32
0
06 May 2022
The Frost Hollow Experiments: Pavlovian Signalling as a Path to
  Coordination and Communication Between Agents
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents
P. Pilarski
Andrew Butcher
Elnaz Davoodi
Michael Bradley Johanson
Dylan J. A. Brenneis
Adam S. R. Parker
Leslie Acker
M. Botvinick
Joseph Modayil
Adam White
AI4CE
150
5
0
17 Mar 2022
Amortized Proximal Optimization
Amortized Proximal OptimizationNeural Information Processing Systems (NeurIPS), 2022
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
324
15
0
28 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
809
76
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 OptimizationInternational Conference on Machine Learning (ICML), 2022
Frederik Benzing
ODL
335
29
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 SystemsData Compression Conference (DCC), 2021
A. Mali
Alexander Ororbia
Daniel Kifer
L. Giles
173
4
0
27 Jan 2022
Pavlovian Signalling with General Value Functions in Agent-Agent
  Temporal Decision Making
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making
Andrew Butcher
Michael Bradley Johanson
Elnaz Davoodi
Dylan J. A. Brenneis
Leslie Acker
Adam S. R. Parker
Adam White
Joseph Modayil
P. Pilarski
AI4CE
227
3
0
11 Jan 2022
Learning Agent State Online with Recurrent Generate-and-Test
Learning Agent State Online with Recurrent Generate-and-Test
Alireza Samani
R. Sutton
CLLOffRL
121
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
274
75
0
27 Dec 2021
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep LearningProceedings of the IEEE (Proc. IEEE), 2021
Nhan Duy Truong
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
551
676
0
27 Sep 2021
Predictive Coding: a Theoretical and Experimental Review
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
494
164
0
27 Jul 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
457
9
0
02 Jun 2021
Online hyperparameter optimization by real-time recurrent learning
Online hyperparameter optimization by real-time recurrent learning
Daniel Jiwoong Im
Cristina Savin
Dong Wang
241
7
0
15 Feb 2021
From Eye-blinks to State Construction: Diagnostic Benchmarks for Online
  Representation Learning
From Eye-blinks to State Construction: Diagnostic Benchmarks for Online Representation Learning
Banafsheh Rafiee
Zaheer Abbas
Sina Ghiassian
Raksha Kumaraswamy
R. Sutton
Elliot A. Ludvig
Adam White
OffRL
321
18
0
09 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
266
95
0
22 Oct 2020
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Albert Gural
P. Nadeau
M. Tikekar
B. Murmann
189
5
0
08 Sep 2020
Online Spatio-Temporal Learning in Deep Neural Networks
Online Spatio-Temporal Learning in Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Thomas Bohnstingl
Stanislaw Wo'zniak
Wolfgang Maass
A. Pantazi
E. Eleftheriou
205
62
0
24 Jul 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
130
11
0
29 Jun 2020
A Practical Sparse Approximation for Real Time Recurrent Learning
A Practical Sparse Approximation for Real Time Recurrent Learning
Jacob Menick
Erich Elsen
Utku Evci
Simon Osindero
Karen Simonyan
Alex Graves
188
33
0
12 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
730
141
0
07 Jun 2020
Convergence of Online Adaptive and Recurrent Optimization Algorithms
Convergence of Online Adaptive and Recurrent Optimization Algorithms
Pierre-Yves Massé
Yann Ollivier
144
7
0
12 May 2020
Decoupling Hierarchical Recurrent Neural Networks With Locally
  Computable Losses
Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
Asier Mujika
Felix Weissenberger
Angelika Steger
151
0
0
11 Oct 2019
The Neural State Pushdown Automata
The Neural State Pushdown Automata
A. Mali
Alexander Ororbia
C. Lee Giles
223
21
0
07 Sep 2019
A Unified Framework of Online Learning Algorithms for Training Recurrent
  Neural Networks
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural NetworksJournal of machine learning research (JMLR), 2019
O. Marschall
Dong Wang
Cristina Savin
FedML
163
77
0
05 Jul 2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in
  an RNN with Static Input
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static InputNeural Information Processing Systems (NeurIPS), 2019
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
206
48
0
31 May 2019
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