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Decoupled Neural Interfaces using Synthetic Gradients
v1v2 (latest)

Decoupled Neural Interfaces using Synthetic Gradients

International Conference on Machine Learning (ICML), 2016
18 August 2016
Max Jaderberg
Wojciech M. Czarnecki
Simon Osindero
Oriol Vinyals
Alex Graves
David Silver
Koray Kavukcuoglu
ArXiv (abs)PDFHTML

Papers citing "Decoupled Neural Interfaces using Synthetic Gradients"

50 / 224 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
121
0
0
26 Nov 2025
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
Alexander Hsu
Ike Griss Salas
Jacob Stevens-Haas
J. Nathan Kutz
Aleksandr Aravkin
Bamdad Hosseini
80
0
0
23 Nov 2025
Linear Gradient Prediction with Control Variates
Linear Gradient Prediction with Control Variates
K. Ciosek
Nicolò Felicioni
Juan Elenter Litwin
124
0
0
07 Nov 2025
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
Shuyan Lyu
Zhanzimo Wu
Junliang Du
93
0
0
31 Oct 2025
Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
Jing Yang
Kaitong Cai
Yijia Fan
Yufeng Yang
Keze Wang
122
0
0
26 Oct 2025
Dopamine-driven synaptic credit assignment in neural networks
Dopamine-driven synaptic credit assignment in neural networks
Saranraj Nambusubramaniyan
Shervin Safavi
Raja Guru
Andreas Knoblauch
100
0
0
25 Oct 2025
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
Jesus Garcia Fernandez
Nasir Ahmad
Marcel van Gerven
AI4CE
238
0
0
21 Oct 2025
Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
Daniel Seifert
Onur Gunlu
Rafael F. Schaefer
90
0
0
13 Oct 2025
Learning without Global Backpropagation via Synergistic Information Distillation
Learning without Global Backpropagation via Synergistic Information Distillation
Chenhao Ye
Ming Tang
108
0
0
27 Sep 2025
Distributed Deep Learning using Stochastic Gradient Staleness
Distributed Deep Learning using Stochastic Gradient Staleness
Viet Hoang Pham
Hyo-Sung Ahn
76
0
0
06 Sep 2025
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
Anzhe Cheng
Chenzhong Yin
Mingxi Cheng
Shukai Duan
Shahin Nazarian
Paul Bogdan
220
0
0
02 Aug 2025
MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks
MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks
Junhao Su
Feiyu Zhu
Hengyu Shi
Tianyang Han
Yurui Qiu
Junfeng Luo
Xiaoming Wei
Jialin Gao
171
1
0
22 Jul 2025
Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks
Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks
Ni Ding
Lei He
Shengbo Eben Li
Keqiang Li
BDL
179
0
0
08 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
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
Adam Cobb
Susmit Jha
166
0
0
23 May 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
Alexander Ororbia
Karl J. Friston
Rajesh P. N. Rao
SSL
260
1
0
22 Mar 2025
Training neural networks without backpropagation using particles
Training neural networks without backpropagation using particles
Deepak Kumar
367
0
0
07 Dec 2024
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
Katharina Flügel
D. Coquelin
Marie Weiel
Achim Streit
Markus Gotz
Markus Götz
261
2
0
23 Oct 2024
Replacement Learning: Training Vision Tasks with Fewer Learnable
  Parameters
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters
Yuming Zhang
Peizhe Wang
Shouxin Zhang
Dongzhi Guan
Jiabin Liu
Junhao Su
210
2
0
02 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach
  for Deep Learning
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep LearningNeural Information Processing Systems (NeurIPS), 2024
Chia-Hsiang Kao
Bharath Hariharan
312
3
0
30 Sep 2024
Unifying back-propagation and forward-forward algorithms through model
  predictive control
Unifying back-propagation and forward-forward algorithms through model predictive control
Lianhai Ren
Qianxiao Li
266
2
0
29 Sep 2024
Contrastive Learning in Memristor-based Neuromorphic Systems
Contrastive Learning in Memristor-based Neuromorphic SystemsIEEE Workshop on Signal Processing Systems (SiPS), 2024
Cory Merkel
Alexander Ororbia
191
1
0
17 Sep 2024
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Yongbo Zhang
Katsuma Inoue
Mitsumasa Nakajima
Toshikazu Hashimoto
Yasuo Kuniyoshi
Kohei Nakajima
318
2
0
12 Sep 2024
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Kenneth Stewart
Michael Neumeier
Sumit Bam Shrestha
Garrick Orchard
Emre Neftci
181
0
0
28 Aug 2024
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
Junhao Su
Chenghao He
Feiyu Zhu
Xiaojie Xu
Dongzhi Guan
Chenyang Si
257
3
0
08 Jul 2024
Momentum Auxiliary Network for Supervised Local Learning
Momentum Auxiliary Network for Supervised Local Learning
Junhao Su
Xiuyuan Guo
Feiyu Zhu
Chenghao He
Xiaojie Xu
Dongzhi Guan
Chenyang Si
455
7
0
08 Jul 2024
Prospective Messaging: Learning in Networks with Communication Delays
Prospective Messaging: Learning in Networks with Communication Delays
Ryan Fayyazi
Christian D. Weilbach
Frank Wood
204
1
0
07 Jul 2024
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap
  Augmented Auxiliary Network
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang
Shouxin Zhang
Peizhe Wang
Feiyu Zhu
Dongzhi Guan
Junhao Su
Jiabin Liu
Xiuyuan Guo
369
3
0
24 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient
  Reconciliation
Towards Interpretable Deep Local Learning with Successive Gradient ReconciliationInternational Conference on Machine Learning (ICML), 2024
Yibo Yang
Xiaojie Li
Motasem Alfarra
Hasan Hammoud
Adel Bibi
Juil Sock
Guohao Li
228
7
0
07 Jun 2024
PETRA: Parallel End-to-end Training with Reversible Architectures
PETRA: Parallel End-to-end Training with Reversible Architectures
Stéphane Rivaud
Louis Fournier
Thomas Pumir
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
361
3
0
04 Jun 2024
Self-Selected Attention Span for Accelerating Large Language Model
  Inference
Self-Selected Attention Span for Accelerating Large Language Model Inference
Tian Jin
W. Yazar
Zifei Xu
Sayeh Sharify
Xin Eric Wang
LRM
150
2
0
14 Apr 2024
Lightweight Inference for Forward-Forward Algorithm
Lightweight Inference for Forward-Forward Algorithm
Amin Aminifar
Baichuan Huang
Azra Abtahi
Amir Aminifar
497
4
0
08 Apr 2024
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for
  Boosting Neural Network Training
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
Zeliang Zhang
Jinyang Jiang
Zhuo Liu
Susan Liang
Yijie Peng
Chenliang Xu
133
0
0
18 Mar 2024
Forward Learning of Graph Neural Networks
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
341
1
0
16 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on
  Vertically Partitioned Data
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Avi Amalanshu
Yash Sirvi
David I. Inouye
FedML
188
1
0
06 Mar 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
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma
Jibin Wu
Chenyang Si
Kay Chen Tan
202
7
0
27 Feb 2024
Moonwalk: Inverse-Forward Differentiation
Moonwalk: Inverse-Forward Differentiation
Dmitrii Krylov
Armin Karamzade
Roy Fox
156
1
0
22 Feb 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM
  Fine-Tuning: A Benchmark
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang
Pingzhi Li
Junyuan Hong
Jiaxiang Li
Yimeng Zhang
...
Wotao Yin
Mingyi Hong
Zinan Lin
Sijia Liu
Tianlong Chen
410
98
0
18 Feb 2024
A Review of Neuroscience-Inspired Machine Learning
A Review of Neuroscience-Inspired Machine Learning
Alexander Ororbia
A. Mali
Adam Kohan
Beren Millidge
Tommaso Salvatori
308
16
0
16 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning
Two Tales of Single-Phase Contrastive Hebbian Learning
R. Høier
Christopher Zach
208
2
0
13 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
293
23
0
10 Feb 2024
Multi-Sender Persuasion: A Computational Perspective
Multi-Sender Persuasion: A Computational Perspective
Safwan Hossain
Tonghan Wang
Tao Lin
Yiling Chen
David C. Parkes
Haifeng Xu
379
14
0
07 Feb 2024
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise
  Training of Neural Networks
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks
Anzhe Cheng
Zhenkun Wang
Chenzhong Yin
Mingxi Cheng
Heng Ping
Xiongye Xiao
Shahin Nazarian
Paul Bogdan
169
7
0
20 Dec 2023
Go beyond End-to-End Training: Boosting Greedy Local Learning with
  Context Supply
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context SupplyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Chengting Yu
Fengzhao Zhang
Hanzhi Ma
Aili Wang
Er-ping Li
224
1
0
12 Dec 2023
How to guess a gradient
How to guess a gradient
Utkarsh Singhal
Brian Cheung
Kartik Chandra
Jonathan Ragan-Kelley
Joshua B. Tenenbaum
Tomaso Poggio
Stella X. Yu
ODL
139
7
0
07 Dec 2023
The Trifecta: Three simple techniques for training deeper
  Forward-Forward networks
The Trifecta: Three simple techniques for training deeper Forward-Forward networks
Thomas Dooms
Ing Jyh Tsang
José Oramas
241
9
0
29 Nov 2023
Leader-Follower Neural Networks with Local Error Signals Inspired by
  Complex Collectives
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives
Chenzhong Yin
Mingxi Cheng
Xiongye Xiao
Xinghe Chen
Shahin Nazarian
Andrei Irimia
Paul Bogdan
213
5
0
11 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingInternational Conference on Learning Representations (ICLR), 2023
Chenyi Zi
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
634
76
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Module-wise Training of Neural Networks via the Minimizing Movement
  Scheme
Module-wise Training of Neural Networks via the Minimizing Movement SchemeNeural Information Processing Systems (NeurIPS), 2023
Skander Karkar
Bhaskar Sen
Emmanuel de Bezenac
Patrick Gallinari
328
4
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29 Sep 2023
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