most citedFundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications

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cs.CV2020

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks

Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale +1

Deep neural networks have achieved state-of-the art performance on various computer vision tasks. However, their deployment on resource-constrained devices has been hindered due to…