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Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
When tuning the architecture and hyperparameters of large machine learni...
06/22/2021 ∙ by David Eriksson, et al. ∙
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One Weight Bitwidth to Rule Them All
Weight quantization for deep ConvNets has shown promising results for ap...
08/22/2020 ∙ by Ting-Wu Chin, et al. ∙
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Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Deep learning algorithms achieve high classification accuracy at the exp...
07/17/2018 ∙ by Jungwook Choi, et al. ∙
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PACT: Parameterized Clipping Activation for Quantized Neural Networks
Deep learning algorithms achieve high classification accuracy at the exp...
05/16/2018 ∙ by Jungwook Choi, et al. ∙
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