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Judging a Book By its Cover, Brian Kenji Iwana, Seiichi Uchida. [v1] Fri, 28 Oct 2016. arXiv:1610.09204 “Book covers communicate information to potential readers, but can the same information be learned by computers? We propose a method of using a Convolutional Neural Network (CNN) to predict the genre of a book based on the visual …
Aletras N, Tsarapatsanis D, Preoţiuc-Pietro D, Lampos V. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. Peer J Computer Science 2:e93 https://doi.org/10.7717/peerj-cs.93 “Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving …
“Microsoft has released an updated version of Microsoft Cognitive Toolkit, a system for deep learning that is used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. The toolkit, previously known as CNTK, was initially developed by computer scientists at Microsoft who wanted a tool to …
Learning to Protect Communications with Adversarial Neural Cryptography, Martın Abadi and David G. Andersen – Google Brain. 21 October 2016. “We ask whether neural networks can learn to use secret keys to protect information from other neural networks. Specifically, we focus on ensuring confidentiality properties in a multiagent system, and we specify those properties in …
