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<h1><a href="./this-week-in-artificial-intelligence-security-38-of-2016.html">This week in Artificial Intelligence & Security - #38 of 2016</a></h1>
<div class="well small"><footer class="post-info">
<abbr class="published" title="2016-09-25T00:00:00">
Sun 25 September 2016 </abbr>
<span class="label"> Category</span>
<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyber" height="300px" src="./cyberpunk/11.gif" width="400px" /></p>
<h1>In the Arxivs</h1>
<ul>
<li><a href="https://arxiv.org/abs/1609.05521">Playing FPS Games with Deep Reinforcement Learning</a>.</li>
<li><a href="http://arxiv.org/abs/1609.03126">Energy-based Generative Adversarial Network</a>.</li>
<li><a href="http://arxiv.org/abs/1609.04836">On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima</a>.</li>
<li><a href="https://arxiv.org/abs/1609.05473">SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient</a>.</li>
<li><a href="https://arxiv.org/abs/1609.06647">Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge</a>.</li>
<li><a href="http://arxiv.org/abs/1609.05143">Target-driven Visual Navigation in Indoor ...</a></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-37-of-2016.html">This week in Artificial Intelligence & Security - #37 of 2016</a></h1>
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<abbr class="published" title="2016-09-17T00:00:00">
Sat 17 September 2016 </abbr>
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<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyber" height="300px" src="./cyberpunk/10.jpg" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="https://drive.google.com/file/d/0B3cxcnOkPx9AeWpLVXhkTDJINDQ/view">WaveNet: A Generative Model for Raw Audio</a>.</li>
<li><a href="http://arxiv.org/pdf/1609.02993v1.pdf">Episodic Exploration for Deep Deterministic Policies:
An Application to StarCraft Micromanagement Tasks</a>.</li>
<li><a href="http://arxiv.org/abs/1609.00408">Defeating Image Obfuscation with Deep Learning</a>.</li>
<li><a href="http://arxiv.org/abs/1609.04802">Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network</a>.</li>
</ul>
<h2>News</h2>
<ul>
<li><a href="https://deepmind.com/blog/wavenet-generative-model-raw-audio/">WaveNet: A Generative Model for Raw Audio</a>.</li>
<li><a href="http://distill.pub/2016/augmented-rnns/">Attention and Augmented Recurrent Neural Networks</a>.</li>
<li><a href="http://www.janexwang.com/blog/2016/9/10/attractor-state-part-1">Attractor ...</a></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-36-of-2016.html">This week in Artificial Intelligence & Security - #36 of 2016</a></h1>
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<abbr class="published" title="2016-09-10T00:00:00">
Sat 10 September 2016 </abbr>
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<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyber" height="300px" src="./cyberpunk/9.png" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="http://arxiv.org/abs/1608.08225">Why does deep and cheap learning work so well?</a>.</li>
<li><a href="http://arxiv.org/pdf/1608.06993v1.pdf">Densely connected convolutional networks</a>.</li>
<li><a href="https://arxiv.org/pdf/1601.06759v3.pdf">Pixel Recurrent Neural Networks</a>.</li>
<li><a href="https://arxiv.org/pdf/1601.06759v3.pdf">Deep Neural Networks for YouTube Recommendations</a>.</li>
<li><a href="https://arxiv.org/pdf/1601.04920v1.pdf">Understanding Deep Convolutional Networks</a>.</li>
</ul>
<h2>News</h2>
<ul>
<li><a href="https://ai100.stanford.edu/sites/default/files/ai_100_report_0901fnlc_single.pdf">Stanford's Artificial Intelligence and Life in 2030</a>.</li>
<li><a href="https://openai.com/blog/infrastructure-for-deep-learning/">OpenAI's Infrastructure for Deep Learning</a>.</li>
<li><a href="https://jaan.io/unreasonable-confusion/">The Unreasonable Confusion of Variational Autoenconders</a>.
*<a href="https://medium.com/@ageitgey/machine-learning-is-fun-part-5-language-translation-with-deep-learning-and-the-magic-of-sequences-2ace0acca0aa#.k5x7tahrq">Machine ...</a></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-35-of-2016.html">This week in Artificial Intelligence & Security - #35 of 2016</a></h1>
<div class="well small"><footer class="post-info">
<abbr class="published" title="2016-09-03T00:00:00">
Sat 03 September 2016 </abbr>
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<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyber" height="300px" src="./cyberpunk/8.jpg" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="http://arxiv.org/abs/1608.08225">Why does deep and cheap learning work so well?</a>.</li>
<li><a href="http://arxiv.org/abs/1608.06993">Densely Connected Convolutional Networks</a>.</li>
<li><a href="https://ai100.stanford.edu/sites/default/files/ai_100_report_0901fnlc_single.pdf">Stanford's Artificial Intelligence and Life in 2030</a>.</li>
<li><a href="https://arxiv.org/abs/1311.2901">Visualizing and Understanding Convolutional Networks (2013)</a>.</li>
<li><a href="https://arxiv.org/abs/1608.07905v1">Machine Comprehension Using Match-LSTM and Answer Pointer</a>.</li>
<li><a href="http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf">Deep Neural Networks for YouTube Recommendations</a>.</li>
</ul>
<h2>News</h2>
<ul>
<li><a href="https://deepmind.com/blog#decoupled-neural-interfaces-using-synthetic-gradients">Decoupled Neural Interfaces Using Synthetic Gradients</a>.</li>
<li><a href="http://www.svds.com/learning-imbalanced-classes">Learning from ...</a></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-34-of-2016.html">This week in Artificial Intelligence & Security - #34 of 2016</a></h1>
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<abbr class="published" title="2016-08-27T00:00:00">
Sat 27 August 2016 </abbr>
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<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyber" height="300px" src="./cyberpunk/7.gif" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="https://arxiv.org/abs/1608.05343">Decoupled Neural Interfaces using Synthetic Gradients</a>. New DeepMind's paper reviewing backpropagation, using a modeled synthetic gradient in place of true backpropagated error gradients. Backpropagation is a a bottleneck in DNN, so the idea is instead use an asynchronous estimator, that would be obtained by supervised training of another ...</li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-33-of-2016.html">This week in Artificial Intelligence & Security - #33 of 2016</a></h1>
<div class="well small"><footer class="post-info">
<abbr class="published" title="2016-08-19T00:00:00">
Fri 19 August 2016 </abbr>
<span class="label"> Category</span>
<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><a href="https://www.reddit.com/r/Cyberpunk/comments/4xun92/would_anyone_want_more_photoshops_like_this/"><img alt="cyber" height="300px" src="./cyberpunk/6.png" width="400px" /></a></p>
<h2>Papers</h2>
<ul>
<li><a href="https://arxiv.org/pdf/1608.05343.pdf">Decoupled Neural Interfaces using Synthetic Gradients</a>.</li>
<li><a href="https://arxiv.org/pdf/1607.02444v1.pdf">Explaining Deep Convolutional Neural Networks on Music Classification</a>.</li>
<li><a href="http://cims.nyu.edu/~schlacht/CNNFluids.htm">Accelerating Eulerian Fluid Simulation With Convolutional Networks</a>.</li>
<li>
<p><a href="http://arxiv.org/abs/1608.02908?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue">Residual Networks of Residual Networks: Multilevel Residual Networks</a>.</p>
</li>
<li>
<p>Classic references on <strong>Deep Reinforcement Learning</strong>:</p>
<ul>
<li><a href="https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf">Playing Atari with Deep Reinforcement Learning, (Mnih <em>et. al</em> 2014)</a>.</li>
<li><a href="http://home.uchicago.edu/~arij/journalclub/papers/2015_Mnih_et_al.pdf">Human-level control through deep ...</a></li></ul></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-32-of-2016.html">This week in Artificial Intelligence & Security - #32 of 2016</a></h1>
<div class="well small"><footer class="post-info">
<abbr class="published" title="2016-08-14T00:00:00">
Sun 14 August 2016 </abbr>
<span class="label"> Category</span>
<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
</footer><!-- /.post-info --></div>
<div class="summary"><p><img alt="cyberpunk" height="300px" src="./cyberpunk/5.jpg" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="http://www.tomeveritt.se/papers/AGI16-sm.pdf">Self-Modification of Policy and Utility Function in
Rational Agents (Everitt, <em>et. al</em>, 2016)</a>.</li>
<li><a href="https://github.com/dmorr-google/wiki-reading">WIKIREADING: A Novel Large-scale Language Understanding Task
over Wikipedia (Hewlett, <em>et. al</em>, 2016)</a>.</li>
<li><a href="http://users.dsic.upv.es/~flip/EGPAI2016/papers/EGPAI_2016_paper_9.pdf">Evaluation of General-Purpose Artificial Intelligence: Why, What & How, (Bieger, <em>et. al</em>, 2016)</a>.</li>
<li><a href="http://www.aclweb.org/anthology/P/P16/P16-1013.pdf">Learning the Curriculum with Bayesian Optimization
for Task-Specific Word Representation Learning ...</a></li></ul>
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<h1><a href="./this-week-in-artificial-intelligence-security-31-of-2016.html">This week in Artificial Intelligence & Security - #31 of 2016</a></h1>
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<abbr class="published" title="2016-08-06T00:00:00">
Sat 06 August 2016 </abbr>
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<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
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<div class="summary"><p><img alt="cyberpunk" height="300px" src="./cyberpunk/1.jpeg" width="400px" /></p>
<h2>Papers</h2>
<ul>
<li><a href="https://arxiv.org/abs/1607.08022">Instance Normalization: The Missing Ingredient for Fast Stylization (Ulyanov, <em>et. al</em>, 2016)</a>.</li>
<li><a href="http://www.creativeai.net/posts/CjrYHppotnFXbeWW8/learning-semantic-deformation-flows-with-3d-convolutional">Learning Semantic Deformation Flows with 3D Convolutional Networks </a>.</li>
</ul>
<h2>News</h2>
<ul>
<li><a href="http://aiimpacts.org/costs-of-extinction-risk-mitigation/">Costs of extinction risk mitigation</a>. A Cost-Benefit Analysis of the extinction risk mitigation, claiming that the annual cost of reducing the probability of human extinction by 0.01 ...</li></ul>
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<h1><a href="./the-effects-of-convolutional-neural-networks-on-a-hot-summer-night.html">The effects of Convolutional Neural Networks on a Hot Summer Night</a></h1>
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<abbr class="published" title="2016-08-01T00:00:00">
Mon 01 August 2016 </abbr>
<span class="label"> Category</span>
<a href="./category/ai-ml.html"><i class="icon-folder-open"></i>AI & ML</a>
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<div class="summary"><p><img alt="dream" height="300px" src="./dream/d1.jpg" width="400px" /></p>
<p>About an year ago, Google published a seminal paper named <a href="https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf">ImageNet Classification with Deep Convolutional Neural Networks</a>, together with a <a href="https://research.googleblog.com/2015/07/deepdream-code-example-for-visualizing.html">blog post</a>, which became known as <strong>Inceptionism</strong>. This work unveiled not only a new way of composing hallucinating artistic pictures, but astonishing new insights on <strong>how convolutional neural networks work ...</strong></p>
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<h1><a href="./this-week-in-artificial-intelligence-security-30-of-2016.html">This week in Artificial Intelligence & Security - #30 of 2016</a></h1>
<div class="well small"><footer class="post-info">
<abbr class="published" title="2016-07-30T00:00:00">
Sat 30 July 2016 </abbr>
<span class="label"> Category</span>
<a href="./category/ai-ml-security.html"><i class="icon-folder-open"></i>AI & ML, Security</a>
</footer><!-- /.post-info --></div>
<div class="summary"><p><img alt="cyberpunk" height="300px" src="./cyberpunk/2.jpg" width="400px" /></p>
<h2>Papers</h2>
<p><strong> This is a selection of quintessential papers for anyone starting on Deep Learning (Thanks to Joe Zimmerman):</strong></p>
<ul>
<li><a href="https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf">ImageNet Classification with Deep Convolutional Neural Networks (Krizhevsky, <em>et al.</em>, 2014)</a>. AlexNet.</li>
<li><a href="https://arxiv.org/pdf/1409.1556.pdf">Very Deep Convolutional Networks for large-scale image recognition (Simonyan, <em>et al.</em>, 2014)</a>. Image classification.</li>
<li><a href="https://arxiv.org/pdf/1207.0580.pdf">Improving neural networks by preventing co-adaptation ...</a></li></ul>
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