{"id":78,"date":"2017-01-09T10:29:24","date_gmt":"2017-01-09T09:29:24","guid":{"rendered":"https:\/\/project.inria.fr\/decore\/?page_id=78"},"modified":"2019-10-08T19:43:58","modified_gmt":"2019-10-08T17:43:58","slug":"meetings-and-events","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/decore\/meetings-and-events\/","title":{"rendered":"Meetings and events"},"content":{"rendered":"<div class=\"row\">\n<h2>Recurring\u00a0events<\/h2>\n<ul>\n<li>Monthly DeCoRe lunch meetings (see below)<\/li>\n<li><a href=\"https:\/\/project.inria.fr\/deeplearning\">Deep learning reading group<\/a>\u00a0Organized jointly by INRIA Grenoble teams Mistis, Perception and Thoth.<\/li>\n<li><a href=\"http:\/\/thoth.inrialpes.fr\/seminars\">Thoth Reading group and seminars<\/a> (INRIA Montbonnot site).<\/li>\n<li><a href=\"http:\/\/gtgpu.blogspot.fr\/\">GPU Discussion Group in Grenoble <\/a>(INRIA Montbonnot site).<\/li>\n<\/ul>\n<h2>Unique events<\/h2>\n<ul>\n<li>June 12th-15th, 2017: <a href=\"http:\/\/univ-cotedazur.fr\/events\/deep-learning-school\">Deep learning spring school, Universite\u00a0Cote d&#8217;Azur<\/a><\/li>\n<li>February 24th 2017: <a href=\"https:\/\/project.inria.fr\/decore\/phd-defense-of-mateusz-budnik-friday-24-february-2017\/\">PhD defense of Mateusz Budnik<\/a> &#8220;Active and Deep Learning for Multimedia&#8221; (supervised by Laurent Besacier and Georges Qu\u00e9not). 14h30 Amphi IMAG Building.<\/li>\n<li>June 23+24 2016: InTech\/NeuroSTIC Seminar on Artificial Neural Networks (INRIA Montbonnot site, <a href=\"https:\/\/sondages.inria.fr\/index.php\/243932\/lang-fr\">registration<\/a>)<\/li>\n<li>June 9 2016: <a href=\"http:\/\/thoth.inrialpes.fr\/workshop\/thoth2016\">Computer Vision &amp; Deep Learning Symposium <\/a>(INRIA Montbonnot site)<\/li>\n<\/ul>\n<\/div>\n<h2 class=\"row\">\u00a0Monthly DeCoRe Lunch meetings<\/h2>\n<p>Every month we meet around lunch time for a discussion on ongoing work and a technical presentation, open for everyone\u00a0interested.<\/p>\n<h5>2019<\/h5>\n<table>\n<tbody>\n<tr>\n<th style=\"width: 10%;\">Date<\/th>\n<th style=\"width: 18%;\">Speaker<\/th>\n<th>Title<\/th>\n<\/tr>\n<tr>\n<td>Oct 4<\/td>\n<td><a href=\"http:\/\/elbayadm.github.io\/\">Maha Elbayad<\/a><\/td>\n<td>Depth-adaptive Transformer for resource efficient machine translation | <a href=\"http:\/\/elbayadm.github.io\/\/assets\/talks\/anytime\/decore_04102019.pdf\" target=\"_blank\" rel=\"noopener\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jul 5<\/td>\n<td><a href=\"http:\/\/elbayadm.github.io\/\">Maha Elbayad<\/a><\/td>\n<td>Online Neural Machine Translation witd 2D Convolutions | <a href=\"http:\/\/elbayadm.github.io\/assets\/talks\/lowlatency\/lowlatency_decore072019.pdf\" target=\"_blank\" rel=\"noopener\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jun 7<\/td>\n<td><a href=\"http:\/\/www.gipsa-lab.grenoble-inp.fr\/page_pro.php?vid=2743\">Anuvabh Dutt<\/a><\/td>\n<td>Continual learning and related aspects<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>2018<\/h5>\n<table>\n<tbody>\n<tr>\n<th style=\"width: 10%;\">Date<\/th>\n<th style=\"width: 18%;\">Speaker<\/th>\n<th>Title<\/th>\n<\/tr>\n<tr>\n<td>Dec 14<\/td>\n<td><a href=\"https:\/\/scholar.google.com\/citations?user=BG9anNgAAAAJ&amp;hl=fr\">William Havard<\/a><\/td>\n<td>An overview of the <a href=\"https:\/\/blackboxnlp.github.io\/2018\/\">BlackboxNLP<\/a> workshop at EMNLP&#8217;18<\/td>\n<\/tr>\n<tr>\n<td>Nov 9<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/tlucas\/\">Thomas Lucas<\/a><\/td>\n<td>ICML&#8217;18: Mixed batches and symmetric discriminators for GAN training | <a href=\"https:\/\/arxiv.org\/abs\/1806.07185\">ArXiv<\/a><\/td>\n<\/tr>\n<tr>\n<td>Sep 7<\/td>\n<td><a href=\"http:\/\/elbayadm.github.io\/\">Maha Elbayad<\/a><\/td>\n<td>CoNLL&#8217;18: Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction | <a href=\"https:\/\/arxiv.org\/abs\/1808.03867\">ArXiv<\/a>, <a href=\"http:\/\/elbayadm.github.io\/assets\/talks\/attn2d\/nve_seminar_attn2d.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jun 8<\/td>\n<td><a href=\"http:\/\/www.gipsa-lab.grenoble-inp.fr\/page_pro.php?vid=2743\">Anuvabh Dutt<\/a><\/td>\n<td>ICLR&#8217;18 Highlights and impressions<\/td>\n<\/tr>\n<tr>\n<td>May 4<\/td>\n<td><a href=\"https:\/\/scholar.google.fr\/citations?user=MhwEmMwAAAAJ&amp;hl=en\">Maziar Moradi Fard<\/a><\/td>\n<td>\n<p class=\"title mathjax\">Deep\u00a0<span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">k<\/span><\/span><\/span><\/span>-Means: Jointly clustering with\u00a0<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-4\" class=\"math\"><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">k<\/span><\/span><\/span><\/span>-Means and learning representations\u00a0<span style=\"font-family: inherit; font-size: 16px;\">| <\/span><a style=\"font-family: inherit; font-size: 16px;\" href=\"https:\/\/arxiv.org\/abs\/1806.10069\">ArXiv<\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>Apr 6<\/td>\n<td><a href=\"https:\/\/scholar.google.fr\/citations?user=7lM8PiUAAAAJ&amp;hl=en\">Alexandre Berard<\/a><\/td>\n<td>\n<p class=\"title mathjax\">ICASSP&#8217;18: End-to-End Automatic Speech Translation of Audiobooks | <a href=\"https:\/\/arxiv.org\/abs\/1802.04200\">ArXiv<\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>Mar 2<\/td>\n<td><a href=\"http:\/\/ama.liglab.fr\/~amini\/\">Massih Reza Amini<\/a><\/td>\n<td>An overview of NeurIPS&#8217;17<\/td>\n<\/tr>\n<tr>\n<td>Feb 2<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/verbeek\/\">Jakob Verbeek<\/a><\/td>\n<td>A tutorial on Deep learning for generative modeling 3\/3 | <a href=\"http:\/\/lear.inrialpes.fr\/~verbeek\/tmp\/DL.jjv.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jan 12<\/td>\n<td><a href=\"http:\/\/www.gipsa-lab.grenoble-inp.fr\/page_pro.php?vid=2743\">Anuvabh Dutt<\/a><\/td>\n<td>CBMI&#8217;18: Coupled Ensembles of Neural Networks | <a href=\"https:\/\/arxiv.org\/abs\/1709.06053\">ArXiv<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>2017<\/h5>\n<table>\n<tbody>\n<tr>\n<th style=\"width: 10%;\">Date<\/th>\n<th style=\"width: 18%;\">Speaker<\/th>\n<th>Title<\/th>\n<\/tr>\n<tr>\n<td>Nov 10<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/verbeek\/\">Jakob Verbeek<\/a><\/td>\n<td>A tutorial on Deep learning for generative modeling 2\/3 | <a href=\"http:\/\/lear.inrialpes.fr\/~verbeek\/tmp\/DL.jjv.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Oct 6<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/verbeek\/\">Jakob Verbeek<\/a><\/td>\n<td>A tutorial on Deep learning for generative modeling 1\/3 | <a href=\"http:\/\/lear.inrialpes.fr\/~verbeek\/tmp\/DL.jjv.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Sep 8<\/td>\n<td><a href=\"https:\/\/nitika-verma.github.io\/\">Nitika Verma<\/a><\/td>\n<td>CVPR&#8217;17:\u00a0\u00a0FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis | <a href=\"https:\/\/arxiv.org\/abs\/1706.05206\">ArXiv<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jun 30<\/td>\n<td><a href=\"https:\/\/www.semanticscholar.org\/author\/Jibril-Frej\/35342746\">Jibril Frej<\/a><\/td>\n<td>Review of &#8220;Understanding Deep Learning Requires Rethinking Generalization. ICLR&#8217;17&#8221; | <a href=\"https:\/\/arxiv.org\/abs\/1611.03530\">ArXiv<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jun 30<\/td>\n<td><a href=\"https:\/\/sites.google.com\/view\/mzboito\/marcely-zanon-boito\">Marcely Zanon Boito<\/a><\/td>\n<td>M2R, MOSIG thesis: Unsupervised word discovery using attention based model<\/td>\n<\/tr>\n<tr>\n<td>Jun 2<\/td>\n<td><a href=\"http:\/\/elbayadm.github.io\/\">Maha Elbayad<\/a><\/td>\n<td>ICLR&#8217;17 highlights | <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/iclr.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>May 5<\/td>\n<td><a href=\"http:\/\/www.gipsa-lab.grenoble-inp.fr\/page_pro.php?vid=2743\">Anuvabh Dutt<\/a><\/td>\n<td>ICMR&#8217;17: Improved image classification with coarse and fine labels | <a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-01590672\">HAL<\/a>, <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/coarse_fine_classif.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Mar 3<\/td>\n<td><a href=\"http:\/\/elbayadm.github.io\/\">Maha Elbayad<\/a><\/td>\n<td>A tutorial on Variational Auto-encoders | <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/03\/vae-decore.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Feb 3<\/td>\n<td><a href=\"https:\/\/www.linkedin.com\/in\/yagmur-gizem-cinar-88994666\/?originalSubdomain=fr\">Yagmur Gizem Cinar<\/a><\/td>\n<td>ICONIP&#8217;17:\u00a0 Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs | <a href=\"https:\/\/arxiv.org\/abs\/1703.10089\">ArXiv<\/a>, <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/Time_series.pdf\">slides<\/a><\/td>\n<\/tr>\n<tr>\n<td>Jan 6<\/td>\n<td><a href=\"http:\/\/mrim.imag.fr\/georges.quenot\/\">George Quenot<\/a> and <a href=\"http:\/\/www.gipsa-lab.grenoble-inp.fr\/page_pro.php?vid=2743\">Anuvabh Dutt<\/a><\/td>\n<td>NeurIPS 2016 highlights | References: <a href=\"https:\/\/cs.nyu.edu\/~fergus\/teaching\/vision\/9_detection_pt2.pdf\">1<\/a>, <a href=\"http:\/\/imatge-upc.github.io\/telecombcn-2016-dlcv\/slides\/D4L1-adversarial.pdf\">2<\/a>, <a href=\"http:\/\/www.cs.toronto.edu\/~dtarlow\/pos14\/talks\/goodfellow.pdf\">3<\/a>, <a href=\"http:\/\/v\">4<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>2016<\/h5>\n<table>\n<tbody>\n<tr>\n<th style=\"width: 10%;\">Date<\/th>\n<th style=\"width: 18%;\">Speaker<\/th>\n<th>Title<\/th>\n<\/tr>\n<tr>\n<td>Dec 2<\/td>\n<td><a href=\"https:\/\/scholar.google.fr\/citations?user=7lM8PiUAAAAJ&amp;hl=en\">Alexandre Berard<\/a><\/td>\n<td>LREC&#8217;16:\u00a0 MultiVec: a Multilingual and Multilevel Representation Learning Toolkit for NLP | <a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-01335930\">HAL<\/a>, <a href=\"https:\/\/github.com\/eske\/multivec\">Git Repo<\/a><\/td>\n<\/tr>\n<tr>\n<td>Nov 4<\/td>\n<td><a href=\"http:\/\/lig-membres.imag.fr\/besacier\/\">Laurent Besacier<\/a><\/td>\n<td>COLING&#8217;16: RNN for cross-lingual annotation projection | <a href=\"https:\/\/arxiv.org\/abs\/1609.09382\">ArXiv<\/a><\/td>\n<\/tr>\n<tr>\n<td>Sep 30<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/verbeek\/\">Jakob Verbeek<\/a><\/td>\n<td>\n<p class=\"title mathjax\">ICCV&#8217;17: Areas of Attention for Image Captioning | <a href=\"https:\/\/arxiv.org\/abs\/1612.01033\">ArXiv<\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>Sep 2<\/td>\n<td><a href=\"https:\/\/thoth.inrialpes.fr\/people\/verbeek\/\">Jakob Verbeek<\/a><\/td>\n<td>NeurIPS&#8217;16:\u00a0 Convolutional neural fabrics | <a href=\"https:\/\/arxiv.org\/abs\/1606.02492\">ArXiv<\/a>, <a href=\"http:\/\/lear.inrialpes.fr\/~verbeek\/talks\/ConvolutionalNeuralFabricsPresentation.pdf\">slides<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>Google Calendar:<\/h5>\n<div style=\"display: none;\">\n<ul>\n<li>December 8,\u00a0Room 306 IMAG, 1pm. tbd<\/li>\n<li>November 10,\u00a0Room 306 IMAG, 1pm. \u00a0tbd<\/li>\n<li>October 6,\u00a0Room 306 IMAG, 1pm. tbd<\/li>\n<li>September 08,\u00a0Room 306 IMAG, 1pm. tbd<\/li>\n<li>June 30,\u00a0Room 306 IMAG, 1pm. Understanding Deep Learning Requires Rethinking Generalization by Jibril Frej. <a href=\"https:\/\/arxiv.org\/pdf\/1611.03530.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">ArXiv\u00a0preprint<\/a> \u00a0and Unsupervised word discovery using attention based models by\u00a0Marcely Zanon Boito.<\/li>\n<li>June 2,\u00a0Room 306 IMAG, 1pm. ICLR 2017 highlights by Maha Elbayad. <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/iclr.pdf\">Slides<\/a><\/li>\n<li>May\u00a05,\u00a0Room 306 IMAG, 1pm. Improved image classification with coarse and fine labels by Anuvabh Dutt. <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/coarse_fine_classif.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a><\/li>\n<li>March\u00a03,\u00a0Room 306 IMAG, 1pm. Variational Auto-encoders by Maha Elbayad. <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/03\/vae-decore.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a><\/li>\n<li>February 3,\u00a0Room 306 IMAG, 1pm. Deep models for time series by Yagmur Gizem Cinar. <a href=\"https:\/\/project.inria.fr\/decore\/files\/2017\/01\/Time_series.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a>, <a href=\"https:\/\/arxiv.org\/abs\/1703.10089\" target=\"_blank\" rel=\"noopener noreferrer\">ArXiv preprint<\/a><\/li>\n<li>Janury 6, 2017, Room 306 IMAG, 1pm. NIPS 2016 highlights by Georges Quenot and\u00a0Anuvabh Dutt. Slides:\u00a0<a href=\"http:\/\/cs.nyu.edu\/~fergus\/teaching\/vision\/9_detection_pt2.pdf\">Learning Visual Features from Large Weakly Supervised Data<\/a>, three slide sets on Generative Adversarial Networks: <a href=\"http:\/\/imatge-upc.github.io\/telecombcn-2016-dlcv\/slides\/D4L1-adversarial.pdf\">1<\/a>, <a href=\"http:\/\/www.cs.toronto.edu\/~dtarlow\/pos14\/talks\/goodfellow.pdf\">2<\/a>, <a href=\"https:\/\/arxiv.org\/pdf\/1701.00160.pdf\">3<\/a>.<\/li>\n<li>December 2, 2016,\u00a0Room 306 IMAG, 12:30 pm. Word-embedding methods by Alexandre Berard. See <a href=\"https:\/\/github.com\/eske\/multivec\">multivec package at github<\/a>.<\/li>\n<li>November 4, 2016,\u00a0Room 306 IMAG, 12:30 pm. RNN for cross-lingual annotation projection by Laurent Besacier. See <a href=\"https:\/\/arxiv.org\/abs\/1609.09382\">COLING&#8217;16 paper<\/a>.<\/li>\n<li>September 30, 2016,\u00a0Room 306 IMAG, 12:30 pm.\u00a0Encoder-decoder models for image captioning by Jakob Verbeek. See <a href=\"https:\/\/arxiv.org\/abs\/1612.01033\">Arxiv preprint<\/a>.<\/li>\n<li>September 2, 2016,\u00a0Room 306 IMAG, 12:00 pm. Convolutional neural fabrics by Jakob Verbeek, <a href=\"http:\/\/lear.inrialpes.fr\/~verbeek\/talks\/ConvolutionalNeuralFabricsPresentation.pdf\">slides<\/a>.<\/li>\n<\/ul>\n<\/div>\n<p><iframe loading=\"lazy\" style=\"border-width: 0;\" src=\"https:\/\/calendar.google.com\/calendar\/embed?height=600&amp;wkst=1&amp;bgcolor=%23FFFFFF&amp;src=ojfls483ch8l8ippv99kjovs8k%40group.calendar.google.com&amp;color=%230F4B38&amp;ctz=Europe%2FParis\" width=\"800\" height=\"600\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p><!-- [calendar id=\"126\"]\n\n\n<div align=\"right\">\n<a target=\"_blank\" href=\"https:\/\/calendar.google.com\/calendar\/render?cid=ojfls483ch8l8ippv99kjovs8k%40group.calendar.google.com\"><img decoding=\"async\" src=\"https:\/\/project.inria.fr\/decore\/files\/2017\/10\/google-calendar-logo-1325uzj.gif\" width=150px> <\/a><\/div>\n\n\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recurring\u00a0events Monthly DeCoRe lunch meetings (see below) Deep learning reading group\u00a0Organized jointly by INRIA Grenoble teams Mistis, Perception and Thoth. Thoth Reading group and seminars (INRIA Montbonnot site). GPU Discussion Group in Grenoble (INRIA Montbonnot site). Unique events June 12th-15th, 2017: Deep learning spring school, Universite\u00a0Cote d&#8217;Azur February 24th 2017:\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/decore\/meetings-and-events\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1053,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-78","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/pages\/78","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/users\/1053"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/comments?post=78"}],"version-history":[{"count":53,"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/pages\/78\/revisions"}],"predecessor-version":[{"id":247,"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/pages\/78\/revisions\/247"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/decore\/wp-json\/wp\/v2\/media?parent=78"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}