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Review Papers¶


Toward General Intelligence

  • Lake, Brenden M., et al. “Building machines that learn and think like people.” Behavioral and brain sciences 40 (2017).

General Reviews

  • Alom, Md Zahangir, et al. “The history began from alexnet: A comprehensive survey on deep learning approaches.” arXiv preprint arXiv:1803.01164 (2018).

  • Liu, Weibo, et al. “A survey of deep neural network architectures and their applications.” Neurocomputing 234 (2017): 11-26.

  • Schmidhuber, Jürgen. “Deep learning in neural networks: An overview.” Neural networks 61 (2015): 85-117.

Neural Architecture Search

  • Elsken, Thomas, Jan Hendrik Metzen, and Frank Hutter. “Neural architecture search: A survey.” arXiv preprint arXiv:1808.05377 (2018).

Application Focused Reviews

  • Mirsky, Yisroel, and Wenke Lee. “The Creation and Detection of Deepfakes: A Survey.” arXiv preprint arXiv:2004.11138 (2020).

  • Kamble, Madhu R., et al. “Advances in anti-spoofing: from the perspective of ASVspoof challenges.” APSIPA Transactions on Signal and Information Processing 9 (2020).

  • Young, Tom, et al. “Recent trends in deep learning based natural language processing.” ieee Computational intelligenCe magazine 13.3 (2018): 55-75.

  • Baltrušaitis, Tadas, Chaitanya Ahuja, and Louis-Philippe Morency. “Multimodal machine learning: A survey and taxonomy.” IEEE transactions on pattern analysis and machine intelligence 41.2 (2018): 423-443.

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