{"id":85,"date":"2017-11-08T21:21:49","date_gmt":"2017-11-08T20:21:49","guid":{"rendered":"http:\/\/www.pewe.sk\/nngroup\/?page_id=85"},"modified":"2018-08-21T09:40:59","modified_gmt":"2018-08-21T07:40:59","slug":"program-20172018","status":"publish","type":"page","link":"https:\/\/www.pewe.sk\/nngroup\/program-20172018\/","title":{"rendered":"Program 2017\/2018"},"content":{"rendered":"<p><strong>03.05.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>L. Mart\u00e1k: Optimization for Training Deep Models, Part 2<\/li>\n<\/ul>\n<p><strong>26.04.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>L. Mart\u00e1k: Optimization for Training Deep Models, Part 1<\/li>\n<\/ul>\n<p><del><strong>19.04.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/del><\/p>\n<ul>\n<li>Cancelled in favor of concurrently running\u00a0<a href=\"https:\/\/www.fiit.stuba.sk\/springschool2018.html?page_id=5258\">Spring School<\/a><\/li>\n<\/ul>\n<p><strong>12.04.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>M. Farka\u0161:\u00a0Sentence representation through word modelling using definitions and word embeddings<\/li>\n<\/ul>\n<p><strong>05.04.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>B. Vavrik:\u00a0Better healthcare through neural networks<\/li>\n<\/ul>\n<p><strong>29.03.2018, <span style=\"text-decoration: underline;\">13<\/span>:<span style=\"text-decoration: underline;\">00<\/span>, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>V. Bachraty: TBD (Topic: image segmentation)<\/li>\n<\/ul>\n<p><strong>22.03.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>N. Danisik:\u00a0DP3 report: Processing of big data acquired by sport activity<\/li>\n<\/ul>\n<p><strong>15.03.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. Hucko: BP2 report: Correction of diacritics by deep neural networks<\/li>\n<\/ul>\n<p><strong>08.03.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. Rafajdus: DP3 report: Generative Adversarial Networks for Weather Forecast<\/li>\n<\/ul>\n<p><strong>01.03.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>Z. Morav\u010d\u00edkov\u00e1: DP3 report: Automatic real-time adaptation of game mechanisms to player state with deep reinforcement learning<\/li>\n<\/ul>\n<p><strong>22.02.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. \u0160vec: DP3 report: Modeling the appropriateness of text posts<\/li>\n<\/ul>\n<p><strong>15.02.2018, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>P. Lacko: Reinforcement learning with Kalman Filters (theory, applications and results)<\/li>\n<\/ul>\n<p><strong>07.12.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>How to win <a href=\"http:\/\/web.tuke.sk\/fei-cit\/wikt2017\/challenge.html\">2017 WIKT Data Challenge<\/a> with neural networks\n<ul>\n<li>V. Bachrat\u00fd &#8211; Top #2 solution (<a href=\"https:\/\/goo.gl\/nzeLTL\">slides<\/a>)<\/li>\n<li>J. Petr\u00edk &#8211; Top #1 solution (<a href=\"https:\/\/www.pewe.sk\/nngroup\/wp-content\/uploads\/sites\/4\/2017\/12\/wikt_challenge.pdf\">slides<\/a>)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>23.11.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>M. Pikuliak: Unsupervised Machine Translation (<a href=\"https:\/\/www.pewe.sk\/nngroup\/wp-content\/uploads\/sites\/4\/2017\/12\/Unsupervised-Machine-Translation.pdf\">slides<\/a>)<\/li>\n<\/ul>\n<p><strong>16.11.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>M. Farka\u0161: Weather prediction with WaveNet<\/li>\n<\/ul>\n<p><strong>09.11.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>CapsNet: A novel approach by professor G. E. Hinton (<a href=\"https:\/\/arxiv.org\/pdf\/1710.09829.pdf\">paper<\/a>)<\/li>\n<li>Talk by Siraj Raval (<a href=\"https:\/\/www.youtube.com\/watch?v=VKoLGnq15RM\">video<\/a>)<\/li>\n<li>Talk by Viktor Bachraty (<a href=\"https:\/\/goo.gl\/Chn2Jj\">slides<\/a>)<\/li>\n<\/ul>\n<p><strong>02.11.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>News, results, Q&amp;A session<\/li>\n<\/ul>\n<p><strong>26.10.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. \u0160vec: DP2 report: Modeling the appropriateness of text posts<\/li>\n<\/ul>\n<p><strong>19.10.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>V. Bachrat\u00fd: Training Deep Neural Networks\u00a0(<a href=\"https:\/\/goo.gl\/asehvu\">slides<\/a>)<\/li>\n<\/ul>\n<p><strong>12.10.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. Rafajdus:\n<ul>\n<li>Introduction to Generative Adversarial Networks (<a href=\"https:\/\/www.pewe.sk\/datalys\/wp-content\/uploads\/sites\/3\/2017\/04\/Fantastic-GANs-and-where-to-find-them.pdf\">slides<\/a>)<\/li>\n<li>DP2 report: Generative Adversarial Networks for Weather Forecast (<a href=\"https:\/\/www.pewe.sk\/datalys\/wp-content\/uploads\/sites\/3\/2017\/04\/Rafajdus_DP2_report.pdf\">slides<\/a>)<\/li>\n<\/ul>\n<\/li>\n<li>M. Pikuliak: Introduction to MLP (<a href=\"https:\/\/www.pewe.sk\/datalys\/wp-content\/uploads\/sites\/3\/2017\/04\/introduction_to_deep_nlp_pikuliak_12_10_2017.pdf\">slides<\/a>)<\/li>\n<\/ul>\n<p><strong>05.10.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>L. Martak: Highlights from <a href=\"http:\/\/grammars.grlmc.com\/DeepLearn2017\/\">DeepLearn2017<\/a>: An international summer school (summit) on Deep Learning (Bilbao, Spain) (<a href=\"https:\/\/goo.gl\/btM4Fv\">slides<\/a>)<\/li>\n<\/ul>\n<p><strong>28.09.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>Quick Introduction to Neural Networks\u00a0(<a href=\"https:\/\/goo.gl\/B3Q5iY\">slides<\/a>)<\/li>\n<li>How to approach problems with Machine Learning<\/li>\n<\/ul>\n<p><strong>21.09.2017, 11:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>Semester opening rituals<\/li>\n<li>Welcoming newcommers<\/li>\n<\/ul>\n<p><strong>04.05.2017, 12:00, 4.08<\/strong> \u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>Discussing of our results<\/li>\n<\/ul>\n<p><strong>27.04.2017, 08:45 &#8211; 15:30, FIIT STU<\/strong>\u00a0\u00bb <em>IIT.SRC 2017<\/em><\/p>\n<ul>\n<li>Conference <a href=\"http:\/\/www.fiit.stuba.sk\/iitsrc2017program.html?page_id=4826\">program<\/a><\/li>\n<li>Map for <a href=\"http:\/\/www.fiit.stuba.sk\/docs\/IIT.SRC\/2017\/iit-src2017_stanky.pdf\">blocks of posters<\/a>\n<ul>\n<li>visit CSAI section for AI related works<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>13.04.2017, 12:00, 4.08<\/strong> \u00bb\u00a0<em>NN Seminar<\/em><\/p>\n<ul>\n<li>L. Martak:\u00a0<a href=\"https:\/\/magenta.tensorflow.org\/2016\/11\/09\/tuning-recurrent-networks-with-reinforcement-learning\">Tuning RNNs with\u00a0Reinforcement Learning<\/a>\n<ul>\n<li>Deep RL with Double Q-Learning (<a href=\"https:\/\/goo.gl\/wMIOuI\">slides<\/a>)<\/li>\n<li>Experiment results<\/li>\n<li>Hands-on<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"https:\/\/news.developer.nvidia.com\/ai-composer-creates-music-for-films-and-games\/\">AI composing music for movies and games<\/a><\/li>\n<\/ul>\n<p><strong>06.04.2017, 12:00, 4.08<\/strong> \u00bb\u00a0<em>NN Seminar<\/em><\/p>\n<ul>\n<li>P. Lacko: Introduction to Reinforcement learning<\/li>\n<li>Housewarming of\u00a0our new <a href=\"https:\/\/www.pewe.sk\/datalys\/nn-group\/\">web site<\/a><\/li>\n<\/ul>\n<p><strong>30.03.2017, 12:00, 4.08<\/strong> \u00bb\u00a0<em>NN Seminar<\/em><\/p>\n<ul>\n<li>M. Pikuliak:\u00a0Google&#8217;s Neural Machine Translation System\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1609.08144\">Basic NMTS<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1611.04558\">Multilingual NMTS<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1703.01619\">Sequence-to-sequence models<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>23.03.2017, 12:00, 4.08<\/strong>\u00a0\u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>T. Fabry: DeepMind&#8217;s PathNet\n<ul>\n<li><a href=\"https:\/\/medium.com\/intuitionmachine\/pathnet-a-modular-deep-learning-architecture-for-agi-5302fcf53273\">Article<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/1701.08734.pdf\">Paper<\/a><\/li>\n<\/ul>\n<\/li>\n<li>A. Rafajdus: <a href=\"https:\/\/www.pewe.sk\/datalys\/wp-content\/uploads\/sites\/3\/2017\/04\/Fantastic-GANs-and-where-to-find-them.pdf\">Fantastic GANs and where to find them<\/a><\/li>\n<\/ul>\n<p><strong>16.03.2017, 12:00, 4.08<\/strong>\u00a0\u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>A. Svec: <a href=\"https:\/\/www.pewe.sk\/datalys\/wp-content\/uploads\/sites\/3\/2017\/04\/Rationalizing-neural-predictions.pdf\">Rationalizing Neural Predictions<\/a>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1606.04155\">Paper<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/taolei87\/rcnn\/tree\/master\/code\/rationale\">Implementation<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>09.03.2017, 12:00, 4.08<\/strong>\u00a0\u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>P. Lacko, L. Martak: Introduction to recurrent neural networks\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/1702.07800.pdf\">Basic overview<\/a>\u00a0(pages 45-53)<\/li>\n<li><a href=\"http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/\">LSTM networks<\/a><\/li>\n<\/ul>\n<\/li>\n<li>L. Martak, M. Farkas: SampleRNN\n<ul>\n<li><a href=\"https:\/\/openreview.net\/forum?id=SkxKPDv5xl\">Paper<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/soroushmehr\/sampleRNN_ICLR2017\">Implementation<\/a><\/li>\n<li><a href=\"https:\/\/soundcloud.com\/samplernn\/sets\">Samples<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>02.03.2017, 12:00, 4.08<\/strong>\u00a0\u00bb <em>NN Seminar<\/em><\/p>\n<ul>\n<li>Discussion\u00a0on biological plausibility of artificial neural networks, from the neurology viewpoint (differences, analogies, research trends and directions) in response to\u00a0yesterdays\u00a0talk <a href=\"https:\/\/www.facebook.com\/Sokratovinstitut\/videos\/1235388896582431\/\">Neurophilosophy<\/a> by neurologist Martin Jan Stransky<\/li>\n<li>Subsequent readings through slack discussion:\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1511.08130\">A Roadmap towards Machine Intelligence<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1604.00289\">Building Machines That Learn and Think Like People<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>03.05.2018, 11:00, 4.08 \u00bb NN Seminar L. Mart\u00e1k: Optimization for Training Deep Models, Part 2 26.04.2018, 11:00, 4.08 \u00bb NN Seminar L. Mart\u00e1k: [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/85"}],"collection":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/comments?post=85"}],"version-history":[{"count":18,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/85\/revisions"}],"predecessor-version":[{"id":166,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/85\/revisions\/166"}],"wp:attachment":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/media?parent=85"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}