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Tuesday, December 5, 2023, @ 8:00-9:00am PT you are invited to attend an INRC Forum talk from Michael Jurado of Georgia Institue of
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Technology.
Title:
Spikemoid loss and the sparsification trainingEnhancing Performance and Efficiency of SNNs: From Spike-Based Loss Improvements to Synaptic Sparsification Techniques.
Abstract:
The introduction of offline training capabilities like Spike Layer Error Reassignment in Time (SLAYER) and advancements in the probabilistic interpretations of Spiking Neural Network (SNN) output reinforce SNNs as a viable alternative to Artificial Neural Networks (ANNs). However, special care must be taken during Surrogate Gradient (SG) training to achieve desired performance and efficiency. This talk will cover our recent work in improving spike-based loss functions for SNNs as well as sparsifying SNNs for low cost, high performant neuromorphic computing.
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