Papers citing 'Deep Rewiring: Training very sparse deep networks'

Title
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 130 11 0 09 Jan 2020
Structural plasticity on an accelerated analog neuromorphic hardware systemNeural Networks (NN), 2019 Sebastian Billaudelle Benjamin Cramer Mihai A. Petrovici Korbinian Schreiber David Kappel Johannes Schemmel K. Meier 141 26 0 27 Dec 2019
Deep learning architectures for nonlinear operator functions and nonlinear inverse problemsMathematical Statistics and Learning (MSL), 2019 Maarten V. de Hoop Matti Lassas C. Wong 247 31 0 23 Dec 2019
Rigging the Lottery: Making All Tickets WinnersInternational Conference on Machine Learning (ICML), 2019 Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 479 678 0 25 Nov 2019
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Flavio Martinelli Giorgia Dellaferrera Pablo Mainar Milos Cernak 157 34 0 22 Oct 2019
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 196 31 0 17 Oct 2019
Convergence Rates of Variational Inference in Sparse Deep LearningInternational Conference on Machine Learning (ICML), 2019 Badr-Eddine Chérief-Abdellatif BDL 296 41 0 09 Aug 2019
Sparse Networks from Scratch: Faster Training without Losing Performance Tim Dettmers Luke Zettlemoyer 261 356 0 10 Jul 2019
The Difficulty of Training Sparse Neural Networks Utku Evci Fabian Pedregosa Aidan Gomez Erich Elsen 303 106 0 25 Jun 2019
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods Karel Lenc Erich Elsen Tom Schaul Karen Simonyan 115 20 0 07 Jun 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 221 110 0 24 Apr 2019
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 PrototypeIEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2019 Yexin Yan David Kappel Felix Neumärker Johannes Partzsch Bernhard Vogginger S. Höppner Steve Furber Wolfgang Maass Robert Legenstein Christian Mayr 112 35 0 20 Mar 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 268 19 0 17 Mar 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 337 830 0 25 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 344 330 0 15 Feb 2019
Intrinsically Sparse Long Short-Term Memory Networks Shiwei Liu Decebal Constantin Mocanu Mykola Pechenizkiy 128 9 0 26 Jan 2019
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware Shiwei Liu Decebal Constantin Mocanu A. R. Ramapuram Matavalam Yulong Pei Mykola Pechenizkiy BDL 276 94 0 26 Jan 2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets G. Bellec Franz Scherr Elias Hajek Darjan Salaj Robert Legenstein Wolfgang Maass PINN 259 94 0 25 Jan 2019
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 415 539 0 26 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 872 3,883 0 09 Mar 2018