avldigital.de<p><a href="https://openbiblio.social/tags/CfP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CfP</span></a> for the <a href="https://openbiblio.social/tags/conference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conference</span></a> "The Multiple <a href="https://openbiblio.social/tags/Representations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Representations</span></a> of the Irish and Spanish Mother in Contemporary <a href="https://openbiblio.social/tags/Literature" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Literature</span></a>", which will take place at University of Almería (Spain) from May 7-9, 2025.</p><p>🗓️Deadline for abstracts: January 15, 2025</p><p>📌Further information:<br><a href="https://www.avldigital.de/de/vernetzen/details/callforpapers/the-multiple-representations-of-the-irish-and-spanish-mother-in-contemporary-literature/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">avldigital.de/de/vernetzen/det</span><span class="invisible">ails/callforpapers/the-multiple-representations-of-the-irish-and-spanish-mother-in-contemporary-literature/</span></a> <a href="https://openbiblio.social/tags/fidavlnews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fidavlnews</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/litstudies" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>litstudies</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/germanistik" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>germanistik</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/italianstudies" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>italianstudies</span></a></span></p>
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#representations
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Estelle PlatiniWhat depression is 🧶
Estelle PlatiniWhat depression is 🧶
Estelle PlatiniCe qu'est la dépression 🧶
JMLR<p>'Desiderata for Representation Learning: A Causal Perspective', by Yixin Wang, Michael I. Jordan.</p><p><a href="http://jmlr.org/papers/v25/21-107.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="">jmlr.org/papers/v25/21-107.html</span><span class="invisible"></span></a> <br /> <br /><a href="https://sigmoid.social/tags/representationlearning" class="mention hashtag" rel="tag">#<span>representationlearning</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/representation" class="mention hashtag" rel="tag">#<span>representation</span></a></p>
Françoise Bahoken<p>✨[magisAR9] [<a href="https://mapstodon.space/tags/CarteBlanche" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CarteBlanche</span></a>] webinaire #17 <a href="https://mapstodon.space/tags/CartoGeoViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CartoGeoViz</span></a>
Gdr CNRS Magis <br>
➡️ <a href="https://mapstodon.space/tags/Magrit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Magrit</span></a> version 2 by <span class="h-card" translate="no"><a href="https://fosstodon.org/@mthv" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mthv</span></a></span> Mathieu Viry (IR, CNRS/RIATE) <br>magrit.cnrs.fr<br>
<a href="https://mapstodon.space/tags/cartographie_statistique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cartographie_statistique</span></a> <a href="https://mapstodon.space/tags/cartographie_thematique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cartographie_thematique</span></a> <a href="https://mapstodon.space/tags/representations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>representations</span></a> <a href="https://mapstodon.space/tags/methodes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methodes</span></a> <a href="https://mapstodon.space/tags/logiciel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logiciel</span></a><br>
🎥 24 septembre 2024 : 12h30-13h30</p><p>🔗 accéder : <a href="https://magisar9.github.io/webinaires/cartogeoviz17-viry.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">magisar9.github.io/webinaires/</span><span class="invisible">cartogeoviz17-viry.html</span></a></p>
JMLR<p>'Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression', by Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak.</p><p><a href="http://jmlr.org/papers/v25/23-0677.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0677.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/regularization" class="mention hashtag" rel="tag">#<span>regularization</span></a> <a href="https://sigmoid.social/tags/lasso" class="mention hashtag" rel="tag">#<span>lasso</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
Association Skeptikon<p>Le samedi à 18h30 vous pourrez retrouver le seul et l'unique <span class="h-card" translate="no"><a href="https://piaille.fr/@bunkerd" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>bunkerd</span></a></span> pour sa conférence :</p><p>♦Martin Luther King Jr. face à son instrumentalisation ✊🏿<br><a href="https://mastodon.opportunis.me/tags/Histoires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Histoires</span></a> <a href="https://mastodon.opportunis.me/tags/Repr%C3%A9sentations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Représentations</span></a></p>
JMLR<p>'Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations', by Devanshu Agrawal, James Ostrowski.</p><p><a href="http://jmlr.org/papers/v24/23-0294.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/23-0294.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/dnns" class="mention hashtag" rel="tag">#<span>dnns</span></a> <a href="https://sigmoid.social/tags/dnn" class="mention hashtag" rel="tag">#<span>dnn</span></a></p>
JMLR<p>'Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders', by Lisa Bonheme, Marek Grzes.</p><p><a href="http://jmlr.org/papers/v24/21-1145.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/21-1145.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/autoencoders" class="mention hashtag" rel="tag">#<span>autoencoders</span></a> <a href="https://sigmoid.social/tags/disentangled" class="mention hashtag" rel="tag">#<span>disentangled</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
Published papers at TMLR<p>Representations and Computations in Transformers that Support Generalization on Structured Tasks</p><p>Yuxuan Li, James McClelland</p><p>Action editor: Stefan Lee.</p><p><a href="https://openreview.net/forum?id=oFC2LAqS6Z" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=oFC2LA</span><span class="invisible">qS6Z</span></a></p><p><a href="https://sigmoid.social/tags/attention" class="mention hashtag" rel="tag">#<span>attention</span></a> <a href="https://sigmoid.social/tags/learns" class="mention hashtag" rel="tag">#<span>learns</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
New Submissions to TMLR<p>Norm-count Hypothesis: On the Relationship Between Norm and Object Count in Visual Representations</p><p><a href="https://openreview.net/forum?id=0hJGrRuhEA" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=0hJGrR</span><span class="invisible">uhEA</span></a></p><p><a href="https://sigmoid.social/tags/cnns" class="mention hashtag" rel="tag">#<span>cnns</span></a> <a href="https://sigmoid.social/tags/cnn" class="mention hashtag" rel="tag">#<span>cnn</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
New Submissions to TMLR<p>Design of the topology for contrastive visual-textual alignment</p><p><a href="https://openreview.net/forum?id=zNRGSv7WKm" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=zNRGSv</span><span class="invisible">7WKm</span></a></p><p><a href="https://sigmoid.social/tags/softmax" class="mention hashtag" rel="tag">#<span>softmax</span></a> <a href="https://sigmoid.social/tags/embedding" class="mention hashtag" rel="tag">#<span>embedding</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
Published papers at TMLR<p>Contrastive Attraction and Contrastive Repulsion for Representation Learning</p><p>Huangjie Zheng, Xu Chen, Jiangchao Yao et al.</p><p>Action editor: Yanwei Fu.</p><p><a href="https://openreview.net/forum?id=f39UIDkwwc" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=f39UID</span><span class="invisible">kwwc</span></a></p><p><a href="https://sigmoid.social/tags/softmax" class="mention hashtag" rel="tag">#<span>softmax</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/imagenet" class="mention hashtag" rel="tag">#<span>imagenet</span></a></p>
Published papers at TMLR<p>Self-Supervised Graph Representation Learning for Neuronal Morphologies</p><p>Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S Ecker</p><p>Action editor: Robert Legenstein.</p><p><a href="https://openreview.net/forum?id=ThhMzfrd6r" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=ThhMzf</span><span class="invisible">rd6r</span></a></p><p><a href="https://sigmoid.social/tags/neurons" class="mention hashtag" rel="tag">#<span>neurons</span></a> <a href="https://sigmoid.social/tags/graphs" class="mention hashtag" rel="tag">#<span>graphs</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
Published papers at TMLR<p>DORA: Exploring Outlier Representations in Deep Neural Networks</p><p>Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne</p><p>Action editor: Antonio Vergari.</p><p><a href="https://openreview.net/forum?id=nfYwRIezvg" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=nfYwRI</span><span class="invisible">ezvg</span></a></p><p><a href="https://sigmoid.social/tags/outliers" class="mention hashtag" rel="tag">#<span>outliers</span></a> <a href="https://sigmoid.social/tags/outlier" class="mention hashtag" rel="tag">#<span>outlier</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
New Submissions to TMLR<p>No Free Lunch in Self Supervised Representation Learning</p><p><a href="https://openreview.net/forum?id=xXgxlrQ6uo" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=xXgxlr</span><span class="invisible">Q6uo</span></a></p><p><a href="https://sigmoid.social/tags/supervised" class="mention hashtag" rel="tag">#<span>supervised</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/representation" class="mention hashtag" rel="tag">#<span>representation</span></a></p>
Published papers at TMLR<p>Invariant Feature Coding using Tensor Product Representation</p><p>YUSUKE Mukuta, Tatsuya Harada</p><p>Action editor: Seungjin Choi.</p><p><a href="https://openreview.net/forum?id=uv32JOdQuh" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=uv32JO</span><span class="invisible">dQuh</span></a></p><p><a href="https://sigmoid.social/tags/tensor" class="mention hashtag" rel="tag">#<span>tensor</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="tag">#<span>classifier</span></a></p>
New Submissions to TMLR<p>Representations and Computations in Transformers that Support Generalization on Structured Tasks</p><p><a href="https://openreview.net/forum?id=oFC2LAqS6Z" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=oFC2LA</span><span class="invisible">qS6Z</span></a></p><p><a href="https://sigmoid.social/tags/attention" class="mention hashtag" rel="tag">#<span>attention</span></a> <a href="https://sigmoid.social/tags/tasks" class="mention hashtag" rel="tag">#<span>tasks</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a></p>
New Submissions to TMLR<p>ContraSim – Analyzing Neural Representations Based on Contrastive Learning</p><p><a href="https://openreview.net/forum?id=ILzCLWKLbk" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=ILzCLW</span><span class="invisible">KLbk</span></a></p><p><a href="https://sigmoid.social/tags/similarity" class="mention hashtag" rel="tag">#<span>similarity</span></a> <a href="https://sigmoid.social/tags/representations" class="mention hashtag" rel="tag">#<span>representations</span></a> <a href="https://sigmoid.social/tags/benchmark" class="mention hashtag" rel="tag">#<span>benchmark</span></a></p>
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