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Bayesian Continual Learning via Spiking Neural Networks

29 August 2022

Osvaldo Simeone

Papers citing "Bayesian Continual Learning via Spiking Neural Networks"

30 / 30 papers shown

Title
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks Nicholas Soures Peter Helfer Anurag Daram Tej Pandit Dhireesha Kudithipudi CLL 40 9 0 16 Aug 2024
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Mohamed Bennai 56 16 0 24 May 2022
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 109 81 0 09 Jul 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck N. Skatchkovsky Osvaldo Simeone Hyeryung Jang 68 20 0 02 Jun 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 67 17 0 15 Dec 2020
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization Sharu Theresa Jose Osvaldo Simeone 43 9 0 25 Nov 2020
Natural-gradient learning for spiking neurons Elena Kreutzer Walter Senn Mihai A. Petrovici 38 13 0 23 Nov 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 39 23 0 03 Sep 2020
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing A. Mehonic Abu Sebastian Bipin Rajendran Osvaldo Simeone Eleni Vasilaki A. Kenyon 49 206 0 30 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 67 11 0 20 Apr 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 75 65 0 07 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 67 42 0 25 Feb 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 88 289 0 24 Feb 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 59 63 0 11 Dec 2019
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone FedML 40 36 0 21 Oct 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 147 247 0 06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 61 197 0 06 Jun 2019
Deep Convolutional Spiking Neural Networks for Image Classification Ruthvik Vaila John N. Chiasson V. Saxena 51 31 0 28 Mar 2019
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 54 66 0 18 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 99 1,240 0 28 Jan 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 161 223 0 16 Jan 2019
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 93 308 0 24 May 2018
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 63 257 0 14 Jun 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 53 137 0 13 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 361 5,379 0 03 Nov 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,369 0 16 Mar 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 95 87 0 16 Feb 2016
Network Plasticity as Bayesian Inference David Kappel Stefan Habenschuss Robert Legenstein Wolfgang Maass 74 122 0 20 Apr 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,274 0 05 Dec 2014