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06/14/2023
Are training trajectories of deep single-spike and deep ReLU network equivalent?
Communication by binary and sparse spikes is a key factor for the energy...
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03/24/2023
Factorizers for Distributed Sparse Block Codes
Distributed sparse block codes (SBCs) exhibit compact representations fo...
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12/23/2022
An Exact Mapping From ReLU Networks to Spiking Neural Networks
Deep spiking neural networks (SNNs) offer the promise of low-power artif...
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09/28/2022
On the visual analytic intelligence of neural networks
Visual oddity task was conceived as a universal ethnic-independent analy...
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07/14/2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
Continually learning new classes from a few training examples without fo...
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03/30/2022
Constrained Few-shot Class-incremental Learning
Continually learning new classes from fresh data without forgetting prev...
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10/05/2020
Robust High-dimensional Memory-augmented Neural Networks
Traditional neural networks require enormous amounts of data to build th...
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04/08/2020
File Classification Based on Spiking Neural Networks
In this paper, we propose a system for file classification in large data...
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06/04/2019
