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<h1>Bibliography<a class="headerlink" href="#bibliography" title="Permalink to this heading">¶</a></h1>
<p>The breakthrough of deep learning origins from
<span id="id1">(<a class="reference internal" href="#id9" title="Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017). Imagenet classification with deep convolutional neural networks. Communications of the ACM, 60(6), 84–90.">Krizhevsky <em>et al.</em>, 2017</a>)</span> for computer vision, there is a rich of
following up works, such as <span id="id2">(<a class="reference internal" href="#id10" title="He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770–778).">He <em>et al.</em>, 2016</a>)</span>. NLP is catching up as
well, the recent work <span id="id3">(<a class="reference internal" href="#id8" title="Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.">Devlin <em>et al.</em>, 2018</a>)</span> shows significant
improvements.</p>
<p>Two keys together <span id="id4">(<a class="reference internal" href="#id8" title="Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.">Devlin <em>et al.</em>, 2018</a>, <a class="reference internal" href="#id10" title="He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770–778).">He <em>et al.</em>, 2016</a>)</span>. Single author
<span id="id5"></span>, two authors <span id="id6">Newell and Rosenbloom (<a class="reference internal" href="#id12" title="Newell, A., & Rosenbloom, P. S. (1980). Mechanisms of skill acquisition and the law of practice. CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE.">1980</a>)</span></p>
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<dt class="label" id="id8"><span class="brackets">Devlin et al., 2018</span><span class="fn-backref">(<a href="#id3">1</a>,<a href="#id4">2</a>)</span></dt>
<dd><p>Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: pre-training of deep bidirectional transformers for language understanding. <em>arXiv preprint arXiv:1810.04805</em>.</p>
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<dt class="label" id="id10"><span class="brackets">He et al., 2016</span><span class="fn-backref">(<a href="#id2">1</a>,<a href="#id4">2</a>)</span></dt>
<dd><p>He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. <em>Proceedings of the IEEE conference on computer vision and pattern recognition</em> (pp. 770–778).</p>
</dd>
<dt class="label" id="id9"><span class="brackets"><a class="fn-backref" href="#id1">Krizhevsky et al., 2017</a></span></dt>
<dd><p>Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017). Imagenet classification with deep convolutional neural networks. <em>Communications of the ACM</em>, <em>60</em>(6), 84–90.</p>
</dd>
<dt class="label" id="id12"><span class="brackets"><a class="fn-backref" href="#id6">Newell & Rosenbloom, 1980</a></span></dt>
<dd><p>Newell, A., & Rosenbloom, P. S. (1980). <em>Mechanisms of skill acquisition and the law of practice.</em> CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE.</p>
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