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07/08/2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
The amount of data processed in the cloud, the development of Internet-o...
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12/13/2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Directly training spiking neural networks (SNNs) has remained challengin...
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08/31/2018
