Deep supervised learning using local errors

17 November 2017

Papers citing "Deep supervised learning using local errors"

25 / 25 papers shown

Title
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm Kazuhisa Fujita 21 0 0 21 Apr 2025
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion Junhao Su Chenghao He Feiyu Zhu Xiaojie Xu Dongzhi Guan Chenyang Si 56 2 0 08 Jul 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 47 1 0 16 Mar 2024
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply Chengting Yu Fengzhao Zhang Hanzhi Ma Aili Wang Er-ping Li 32 1 0 12 Dec 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 31 2 0 15 Oct 2023
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 33 1 0 03 Oct 2022
Learning with Local Gradients at the Edge M. Lomnitz Z. Daniels David C. Zhang M. Piacentino 34 1 0 17 Aug 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 33 13 0 05 Apr 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass Giorgia Dellaferrera Gabriel Kreiman 31 53 0 27 Jan 2022
Towards Biologically Plausible Convolutional Networks Roman Pogodin Yash Mehta Timothy Lillicrap P. Latham 26 22 0 22 Jun 2021
Tightening the Biological Constraints on Gradient-Based Predictive Coding Nick Alonso Emre Neftci 27 7 0 30 Apr 2021
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers Shucong Zhang Cong-Thanh Do R. Doddipatla Erfan Loweimi P. Bell Steve Renals 24 2 0 09 Feb 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 38 3 0 09 Jan 2021
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks Melika Payvand M. Fouda Fadi J. Kurdahi A. Eltawil Emre Neftci 35 29 0 21 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 24 34 0 12 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 27 12 0 10 Jun 2020
Fully Decoupled Neural Network Learning Using Delayed Gradients Huiping Zhuang Yi Wang Qinglai Liu Shuai Zhang Zhiping Lin FedML 25 30 0 21 Jun 2019
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation Yu-Wei Kao Hung-Hsuan Chen BDL 20 5 0 13 Jun 2019
Direct Feedback Alignment with Sparse Connections for Local Learning Brian Crafton A. Parihar Evan Gebhardt A. Raychowdhury 11 56 0 30 Jan 2019
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 11 114 0 23 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,892 0 15 Sep 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014