Training data-efficient image transformers & distillation ...
Our two new models DeiT-S and DeiT-Ti have fewer param-eters and can be seen as the counterpart of ResNet-50 and ResNet-18. •We introduce a new distillation procedure based on a distillation token, which plays the same role as the class token, except that it aims at re-producing the label estimated by the teacher. Both tokens interact in the
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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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@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016
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 …
Adversarial Generative Nets: Neural Network …
arxiv.orgAdversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer Carnegie Mellon University
Massive Exploration of Neural Machine Translation ...
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Mastering Chess and Shogi by Self-Play with a …
arxiv.orgMastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver, 1Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, 1Matthew Lai, Arthur Guez, Marc Lanctot,1
Going deeper with convolutions - arXiv
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Andrew G. Howard Menglong Zhu Bo Chen Dmitry ...
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