Nov 8, 2022 · We present a new sparse training approach that evolves sparse neural networks according to the behavior of neurons in the network.
Mar 17, 2019 · We present a new sparse training approach that evolves sparse neural networks according to the behavior of neurons in the network.
Sparse neural networks attract increasing interest as they exhibit comparable performance to their dense counterparts while being computationally efficient.
Nov 8, 2022 · In this paper, inspired by the evolution of the biological brain and the Hebbian learning theory, we present a new sparse training approach that ...
In this paper, inspired by the evolution of the biological brain and the Hebbian learning theory, we present a new sparse training approach that evolves sparse ...
Sparse Neural NetworksDeep LearningCost-efficient Neural NetworksMachine Learning ... 2020. A Brain-inspired Algorithm for Training Highly Sparse Neural Networks.
Aug 25, 2023 · We report an efficient brain-inspired computing algorithm for SNNs and ANNs, referred to here as neuromodulation-assisted credit assignment (NACA).
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Aug 25, 2023 · Together, our results provide a new brain-inspired algorithm for expectation-based global neuromodulation of synaptic plasticity that enables ...
Aug 25, 2023 · We report an efficient brain-inspired computing algorithm for SNNs and ANNs, referred to here as neuromodulation-assisted credit assignment (NACA).
Aug 25, 2023 · We report an efficient brain-inspired computing algorithm for SNNs and ANNs, referred to here as neuromodulation-assisted credit assignment (NACA).
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