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34. [Batch Normalization](https://arxiv.org/abs/1502.03167)
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36. [Residual Learning](https://arxiv.org/pdf/1512.03385v1.pdf)
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37. [Berkeley AI Research (BAIR) Laboratory] Image-to-Image Translation with Conditional Adversarial Networks (https://arxiv.org/pdf/1611.07004v1.pdf)
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-38. [Cross Audio-Visual Recognition in the Wild Using Deep Learning](https://arxiv.org/abs/1706.05739)
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+38. [MobileNets by Google] (https://arxiv.org/abs/1704.04861)
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+39. [Cross Audio-Visual Recognition in the Wild Using Deep Learning] (https://arxiv.org/abs/1706.05739)
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### Tutorials
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93. [ Yichuan Tang ](http://www.cs.toronto.edu/~tang/)
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94. [ Yoshua Bengio ](http://www.iro.umontreal.ca/~bengioy/yoshua_en/index.html)
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95. [ Yotaro Kubo ](http://yota.ro/)
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-96. [ Youzhi (Will) Zou](http://ai.stanford.edu/~wzou)
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+96. [ Youzhi (Will) Zou ](http://ai.stanford.edu/~wzou)
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+97. [ Fei-Fei Li ](http://vision.stanford.edu/feifeili)
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+98. [ Ian Goodfellow ](https://research.google.com/pubs/105214.html)
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+99. [ Robert Laganière ](http://www.site.uottawa.ca/~laganier/)
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### WebSites
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