A MUTUAL LEARNING FRAMEWORK FOR PRUNED AND QUANTIZED NETWORKS

A Mutual Learning Framework for Pruned and Quantized Networks

Model compression is an important topic in deep learning research.It can be mainly divided into two directions: model pruning and model Power Supply Harness quantization.However, both methods will more or less affect the original accuracy of the model.In this paper, we propose a mutual learning framework for pruned and quantized networks.We regard

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Improvement of N, P, and K availability of post-brick mining soil to increase maize yield by applying different types of biochar

The low fertility of post-brick mining soil may be improved by applying biochar to the soil because biochar is an excellent soil amendment, although its quality varies depending on the raw materials used.Therefore, soil fertility, nutrient Vases availability, and crop yields are affected by the type and amount of biochar added to soils.This study e

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Novel mitochondrial genome rearrangements including duplications and extensive heteroplasmy could underlie temperature adaptations in Antarctic notothenioid fishes

Abstract Mitochondrial genomes are known for their compact size and conserved gene order, however, recent studies employing long-read sequencing technologies have revealed the presence of atypical mitogenomes in some species.In this study, we assembled and annotated the mitogenomes of five Antarctic notothenioids, including four icefishes (Champsoc

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