NeurIPS 2019 | Huawei, Peking University, etc. jointly proposed: a cloud network compression method based on positive and unlabeled samples (PU) - Code World

NeurIPS 2019 | Huawei, Peking University, etc. jointly proposed: a cloud network compression method based on positive and unlabeled samples (PU)

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NeurIPS 2019 | Huawei, Peking University, etc. jointly proposed: a cloud network compression method based on positive and unlabeled samples (PU)

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NeurIPS 2019 | Huawei, Peking University, etc. propuseram em conjunto: um método de compressão de rede em nuvem com base em amostras positivas e não rotuladas (PU)

14. The University of California, San Diego, and Microsoft jointly proposed: SCHEME Former Backbone The Arkenstone on the top of the Lonely Mountain

Peking University proposed DragonDiffusion, using Diffusion to upgrade DragGAN, which can realize drag and drop with one click

Qiniu Cloud processes image compression, cropping, reduction, etc.

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Comparison of Alibaba Cloud, Huawei Cloud, Baidu Cloud, etc.

Peking University's gBuilder platform is perfectly adapted to openGauss to jointly promote the ecological prosperity of knowledge graph and product innovation

PU Learning Description: The unlabeled data for semi-supervised classification

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Classic literature reading--R-PCC (point cloud compression method based on distance image)

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15. The Chinese Academy of Sciences, Suzhou Institute of Higher Education, Shanghai Jiao Tong University, and Harbin Institute of Technology jointly proposed MobileUtr: The Hunger Games in the field of medical image segmentation

VGGNet network (proposed in 2014)

AlexNet network (proposed in 2012)

GoogLeNet network (proposed in 2014)

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[Paper Express] ICCV2021 - Real-time and high-precision semantic segmentation of small samples based on hyper-correlation compression

Take you to read the third issue of the paper: Chen Qi, a researcher at Microsoft and a Ph.D. from Peking University, won the NeurIPS Outstanding Paper Award

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