Deep Learning based Recommender System: A Survey and …
research on deep learning based recommender systems, to identify open problems currently limiting real-world implementations and to point out future directions along this dimension. In the last few years, a number of surveys in traditional recommender systems have been presented. For
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arXiv:0706.3639v1 [cs.AI] 25 Jun 2007
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Deep Residual Learning for Image Recognition - …
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arXiv:1301.3781v3 [cs.CL] 7 Sep 2013
arxiv.orgFor all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …
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arxiv.orgwhere 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …
A Tutorial on UAVs for Wireless Networks: …
arxiv.orgA Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems Mohammad Mozaffari 1, ... to UAVs in wireless communications is the work in …
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Adversarial Generative Nets: Neural Network …
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Massive Exploration of Neural Machine Translation ...
arxiv.orgMassive Exploration of Neural Machine Translation Architectures Denny Britzy, Anna Goldie, Minh-Thang Luong, Quoc Le fdennybritz,agoldie,thangluong,qvlg@google.com Google Brain
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Mastering Chess and Shogi by Self-Play with a …
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Going deeper with convolutions - arXiv
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