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ResNeSt: Split-Attention Networks


Apr 19, 2020
Hang Zhang , Chongruo Wu , Zhongyue Zhang , Yi Zhu , Zhi Zhang , Haibin Lin , Yue Sun , Tong He , Jonas Mueller , R. Manmatha , Mu Li , Alexander Smola


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Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates


Nov 20, 2019
Cong Xie , Oluwasanmi Koyejo , Indranil Gupta , Haibin Lin


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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs


Sep 03, 2019
Minjie Wang , Lingfan Yu , Da Zheng , Quan Gan , Yu Gai , Zihao Ye , Mufei Li , Jinjing Zhou , Qi Huang , Chao Ma , Ziyue Huang , Qipeng Guo , Hao Zhang , Haibin Lin , Junbo Zhao , Jinyang Li , Alexander Smola , Zheng Zhang


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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing


Jul 09, 2019
Jian Guo , He He , Tong He , Leonard Lausen , Mu Li , Haibin Lin , Xingjian Shi , Chenguang Wang , Junyuan Xie , Sheng Zha , Aston Zhang , Hang Zhang , Zhi Zhang , Zhongyue Zhang , Shuai Zheng


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Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources


May 02, 2019
Haibin Lin , Hang Zhang , Yifei Ma , Tong He , Zhi Zhang , Sheng Zha , Mu Li


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