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AutoMM for Named Entity Recognition in Chinese - Quick Start Open In Colab Open In SageMaker Studio Lab In this tutorial, we will demonstrate how to use AutoMM for Chinese Named Entity Recognition using an e-commerce dataset extracted from one of the most popular online marketplaces, TaoBao com The dataset is collected and labelled by Jie et al and the t
Learning Best Combination for Efficient N:M Sparsity - NIPS Authors Yuxin Zhang, Mingbao Lin, ZhiHang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji Abstract By forcing N out of M consecutive weights to be non-zero, the recent N:M fine-grained network sparsity has received increasing attention with its two attractive advantages over traditional irregular network sparsity methods: 1) Promising performance at a high sparsity