Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Abstract: In this paper, we propose the Schoenberg kernel loss, a loss function that measures the divergence between spike trains for spiking neural network training. Our method addresses the ...
The recruits will serve as frontline responders in Camtel's efforts to significantly reduce service downtime and improve user ...
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