<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p>Dear researchers,<br>
</p>
<p>For our ICLR workshop “<a moz-do-not-send="true"
href="https://iclr2021generalization.github.io/">Generalization
beyond the training distribution in brains and machines</a>”, we
welcome abstract submission for our poster session. <br>
<br>
Speakers and panelists include Aleksander Madry, Brenden Lake, Ida
Mommenejad, Kimberley Stachenfeld, Margaret Livingstone, Matthias
Bethge, Pawan Sinha, Raquel Urtasun, Shimon Ullman, Thomas Serre,
Tomaso Poggio.<br>
<br>
Topics include but are not limited to systematic generalization,
out-of-sample / out-of-domain generalization, learning from
non-IID / long-tail data:<br>
</p>
<ul>
<li>Demonstration of success and failure modes in biological
intelligence versus neural networks or other models for
artificial intelligence.</li>
<li>Computational theory for generalization in biological or
artificial intelligence.</li>
<li>Mechanisms of biological intelligence that support
generalization, at the level of cells, circuits, systems, or
cognition. </li>
<li>Datasets or benchmarks that represent novel challenges for
biological or artificial intelligence.</li>
</ul>
<p><br>
Abstracts can contain up to, but not more than 300 words, and may
include a maximum of 1 figure. Submissions may be work in progress
or currently under review - as long as the other venue’s rules
permit that. The format of the submission should be a pdf with the
<a moz-do-not-send="true"
href="https://github.com/ICLR/Master-Template/raw/master/archive/iclr2021.zip">ICLR
template</a>.<br>
<br>
Abstracts are submitted via <a moz-do-not-send="true"
href="https://docs.google.com/document/d/1xQzrTLYcG1DpiywTEYIN9fh5lBcpkJQnZsufTgUgRQs/edit">CMT</a>.
The submission deadline is March 12th.<br>
<br>
Submissions will be evaluated by the workshop organizers. We
intend to accept the majority of submissions. Reasons for
rejection could be an inappropriate topic, flawed or no methods,
incomprehensibility or repetition of known literature. <br>
<br>
Accepted abstracts will be presented during the poster session
(see schedule). They will also be posted on the workshop site, but
under a non-archival status. <br>
<br>
We look forward to receiving your submissions!<br>
The Organizers<br>
<br>
Contact for questions and requests:
<a class="moz-txt-link-abbreviated" href="mailto:iclr2021generalization@gmail.com">iclr2021generalization@gmail.com</a><br>
</p>
</body>
</html>