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Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets

24 October 2022

Papers citing "Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets"

20 / 20 papers shown

Title
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing Ahsan Adeel Mario Franco Mohsin Raza K. Ahmed 42 9 0 15 Jul 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 65 20 0 27 Dec 2021
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition Anubha Bhatti Behnam Behinaein D. Rodenburg Paul Hungler Ali Etemad 47 21 0 04 Aug 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 314 724 0 31 Jan 2021
The Computational Limits of Deep Learning Neil C. Thompson Kristjan Greenewald Keeheon Lee Gabriel F. Manso VLM 53 528 0 10 Jul 2020
Sparse GPU Kernels for Deep Learning Trevor Gale Matei A. Zaharia C. Young Erich Elsen 73 234 0 18 Jun 2020
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 54 630 0 04 Oct 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 73 2,660 0 05 Jun 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations Subutai Ahmad Luiz Scheinkman 67 97 0 27 Mar 2019
Dendritic cortical microcircuits approximate the backpropagation algorithm João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn 83 312 0 26 Oct 2018
Lip-Reading Driven Deep Learning Approach for Speech Enhancement Ahsan Adeel M. Gogate Amir Hussain W. Whitmer 64 65 0 31 Jul 2018
The Sparse Manifold Transform Yubei Chen Dylan M. Paiton Bruno A. Olshausen MedIm 42 57 0 23 Jun 2018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain Chetan Singh Thakur J. Molin Gert Cauwenberghs Giacomo Indiveri Kundan Kumar ... Jae-sun Seo Shimeng Yu Yu Cao André van Schaik R. Etienne-Cummings 65 237 0 23 May 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 196 1,282 0 12 Jan 2018
XFlow: Cross-modal Deep Neural Networks for Audiovisual Classification Cătălina Cangea Petar Velickovic Pietro Lio 40 30 0 02 Sep 2017
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) S. Moradi Ning Qiao F. Stefanini Giacomo Indiveri 67 483 0 14 Aug 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 178 634 0 15 Jul 2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System Sebastian Schmitt Johann Klaehn G. Bellec Andreas Grübl Maurice Guettler ... Robert Legenstein Wolfgang Maass Christian Mayr Johannes Schemmel K. Meier 46 138 0 06 Mar 2017
The Power of Sparsity in Convolutional Neural Networks Soravit Changpinyo Mark Sandler A. Zhmoginov 75 133 0 21 Feb 2017
A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition Runchun Wang Chetan Singh Thakur T. Hamilton J. Tapson Andre van Schaik 58 49 0 21 Jul 2015