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Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
Experimental results demonstrate the effectiveness of our approach, resulting in models with over 80\% in accuracy and low computational cost.
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