<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=utf-8"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:Wingdings;
panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:-webkit-standard;
panose-1:2 11 6 4 2 2 2 2 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
font-size:11.0pt;
font-family:"Calibri",sans-serif;
mso-fareast-language:EN-US;}
h3
{mso-style-priority:9;
mso-style-link:"Heading 3 Char";
mso-margin-top-alt:auto;
margin-right:0cm;
mso-margin-bottom-alt:auto;
margin-left:0cm;
font-size:13.5pt;
font-family:"Calibri",sans-serif;
font-weight:bold;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.Heading3Char
{mso-style-name:"Heading 3 Char";
mso-style-priority:9;
mso-style-link:"Heading 3";
font-family:"Calibri",sans-serif;
mso-fareast-language:EN-GB;
font-weight:bold;}
span.apple-converted-space
{mso-style-name:apple-converted-space;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri",sans-serif;
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
{page:WordSection1;}
/* List Definitions */
@list l0
{mso-list-id:101728454;
mso-list-template-ids:1331722316;}
@list l0:level1
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:36.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level2
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:72.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level3
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:108.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level4
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:144.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level5
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:180.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level6
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:216.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level7
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:252.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level8
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:288.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l0:level9
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:324.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1
{mso-list-id:234055672;
mso-list-template-ids:-556992794;}
@list l1:level1
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:36.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level2
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:72.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level3
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:108.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level4
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:144.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level5
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:180.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level6
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:216.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level7
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:252.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level8
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:288.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level9
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:324.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2
{mso-list-id:1129397264;
mso-list-template-ids:-32868752;}
@list l2:level1
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:36.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level2
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:72.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level3
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:108.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level4
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:144.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level5
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:180.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level6
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:216.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level7
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:252.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level8
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:288.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l2:level9
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:324.0pt;
mso-level-number-position:left;
text-indent:-18.0pt;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
ol
{margin-bottom:0cm;}
ul
{margin-bottom:0cm;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=en-FR link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>We are pleased to announce the ICLR-2021 Workshop:</span><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Energy Based Models: Current Perspectives, Challenges, and Opportunities</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>, to be held virtually on May 8, 2021 </span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Workshop page</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>(please consult for up-to-date information):</span><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'><a href="https://sites.google.com/d/1aQ_ABKq-njBwddYvvcBpKEVGlGu3KlYa/p/1EGCboUNr8zqSOTpgngecxZ0Z8n6DNI4t/edit" target="_blank">https://sites.google.com/d/1aQ_ABKq-njBwddYvvcBpKEVGlGu3KlYa/p/1EGCboUNr8zqSOTpgngecxZ0Z8n6DNI4t/edit</a></span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>ABOUT THE WORKSHOP:</span></b><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'><a href="https://en.wikipedia.org/wiki/Energy_based_model" target="_blank"><b><span style='color:#212121'>Energy-Based Models</span></b></a></span><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>(EBMs) are a learning framework that assigns a quality score to any given input, its energy; contrary to probabilistic models, there is no a priori requirement that these scores be normalized (i.e. sum to one). Energies are typically computed through a neural network, and training an EBM corresponds to shaping the energy function such that data points nearby the underlying data manifold are associated with lower energies than data points that are far from it. Not imposing normalization affords a great power and flexibility to the modelling process, e.g. in terms of combining energies, on conditioning on certain variables, of computing global scores on complex structured objects, or on expressing prior knowledge. However, this freedom comes with significant technical challenges, in terms of learning and inference.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>A strong comeback of EBMs is currently underway. The goals of this Workshop are:</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:44.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>To provide a forum for discussing cutting-edge research on different EBM approaches (e.g for continuous vs. discrete problems, strategies to shape the energy function, etc.), and to position these in the broader ML landscape (MCMC, GANs, RL, Variational Inference, etc.)</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:44.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>To bring together different communities, not only from core ML, but also from application domains such as vision, nlp, biology, neuroscience, etc.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:44.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>To learn and exchange ideas about current and potential applications of EBMs, and to provide insights which may inspire novel EBM developments.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>SUBMISSION GUIDELINES:</span></b><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-bottom:12.0pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>We welcome submissions on (non exhaustive list):</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Techniques for high-dimensional continuous EBMs (e.g. in Vision, Neuroscience) and for discrete EBMs (e.g. in NLP, Biology).</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Probabilistic (e.g. advanced MCMC and variational inference) and non-probabilistic (e.g. contrastive learning) approaches for training EBMs.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Comparisons, connections and combinations with other ML approaches and frameworks (Autoregressive models, GANs, Variational Auto-Encoders, Reinforcement Learning, ... ).</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Multidisciplinary applications of EBMs to different domains.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Applications of EBMs to unsupervised, self-supervised and latent models.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Emerging models of computation exploiting Energy characteristics in physical processes.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-left:59.0pt;text-indent:-18.0pt;vertical-align:baseline;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.0pt;font-family:Wingdings;color:black'>§</span><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span><span class=apple-converted-space><span style='font-size:7.0pt;font-family:"Times New Roman",serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Opinion pieces in favor or against EBMs.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-bottom:12.0pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Submissions will be either</span><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>short papers</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>(between 4 and 6 pages, excluding references) or</span><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>extended abstracts</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>(2 pages, excluding references). We welcome submissions that are work in progress, as well as submissions that are currently under review at other venues, as long as that fit the format above. Submissions should follow ICLR2021 submission format (<a href="https://github.com/ICLR/Master-Template/blob/master/archive/iclr2021.zip" target="_blank"><span style='color:#212121'>LaTeX</span></a>,<a href="https://www.overleaf.com/latex/templates/template-for-iclr-2021-conference-submission/mmpfhsxmqdkp" target="_blank"><span style='color:#212121'>Overleaf</span></a>).</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='margin-bottom:12.0pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Submissions will be evaluated by a Programme Committee to be announced later. Accepted papers will be presented during poster sessions, with a few contributed talks. They will be posted on the workshop site, under a non-archival status.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><h3 style='margin-bottom:12.0pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:11.0pt;font-family:"Arial",sans-serif;color:#00914C'>Submission</span><span style='color:black'><o:p></o:p></span></h3><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>A link for submitting will be provided soon on the workshop page.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121'>The review process will be double-blind. Authors should make sure to anonymise their submissions by removing names and affiliations.</span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:#00914C'>Available grants</span></b><b><span lang=EN-US style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></b></p><p class=MsoNormal style='margin-top:11.25pt'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:#212121;mso-fareast-language:EN-GB'>The workshop will provide ICLR registrations for authors of a few selected papers.<o:p></o:p></span></p><p style='margin-bottom:12.0pt'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>TIMELINE:</span></b><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='color:#212121;mso-list:l0 level1 lfo1;vertical-align:baseline'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>February 2</span></b><b><span lang=EN-US style='font-size:10.5pt;font-family:"Arial",sans-serif'>4</span></b><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, 2021</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>: Submission Deadline (11:59PM Anywhere on Earth) </span><o:p></o:p></li><li class=MsoNormal style='color:#212121;mso-list:l0 level1 lfo1;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>March 26, 2021</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>: Notification of acceptance</span><o:p></o:p></li><li class=MsoNormal style='color:#212121;mso-list:l0 level1 lfo1;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>TBD: Camera-ready papers due</span><o:p></o:p></li><li class=MsoNormal style='color:#212121;mso-list:l0 level1 lfo1;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>TBD: Presentation recordings due</span><o:p></o:p></li><li class=MsoNormal style='color:#212121;mso-list:l0 level1 lfo1;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>May 8, 2021</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>: Workshop </span><o:p></o:p></li></ul><p><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>INVITED SPEAKERS/PANELISTS:</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Benjamin Scellier,</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif'> </span></span><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Mila, Université de Montréal</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Debora Marks</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, Harvard University</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Simon Osindero</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, DeepMind</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Stefano Ermon</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, Stanford</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Will</span></b><span class=apple-converted-space><span style='font-size:10.5pt;font-family:"Arial",sans-serif'> </span></span><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Grathwohl</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, University of Toronto</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Yann Le Cun</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, Facebook AI Research</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo2;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Yingszhen Li</span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>, Microsoft Research</span><o:p></o:p></li></ul><p><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>ORGANIZERS:</span></b><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo3;vertical-align:baseline'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Adji Bousso Dieng,<span class=apple-converted-space> </span></span></b><span lang=EN-US style='font-size:10.5pt;font-family:"Arial",sans-serif'>Google Brain</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo3;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Hady Elsahar,<span class=apple-converted-space> </span></span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Naver Labs Europe</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo3;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Igor Mordatch,<span class=apple-converted-space> </span></span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Google Brain</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo3;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Marc Dymetman,<span class=apple-converted-space> </span></span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Naver Labs Europe</span><o:p></o:p></li><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo3;vertical-align:baseline;font-variant-ligatures: normal;font-variant-caps: normal;font-variant-east-asian: normal'><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Marc’Aurelio Ranzato,<span class=apple-converted-space> </span></span></b><span style='font-size:10.5pt;font-family:"Arial",sans-serif'>Facebook AI Research</span><o:p></o:p></li></ul><p><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>PROGRAMME COMMITTEE: To be announced</span></b><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></b><b><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span></b><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p style='caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px'><span style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'> </span><span style='font-family:"-webkit-standard",serif;color:black'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>