<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><h2 dir="ltr" style="line-height:1.98;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-weight:400;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Dear All,</span></h2><h2 dir="ltr" style="line-height:1.98;margin-top:0pt;margin-bottom:0pt"><span id="m_9030367587327311813gmail-docs-internal-guid-0d705015-7fff-03a0-7d90-37df1d3d6811" style="font-weight:normal"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Apologies for cross-posting.</span></p><br><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(60,59,59);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">We invite submissions to the </span><span style="font-size:11pt;font-family:Arial;color:rgb(60,59,59);background-color:transparent;font-weight:700;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Workshop track</span><span style="font-size:11pt;font-family:Arial;color:rgb(60,59,59);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> of CoLLAs</span><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> that describe new theory, methodology or </span><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">new insights into existing algorithms and/or benchmarks</span><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">. </span><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">This is a non-archival track of the conference. </span><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> Topics of submission may include, but are not limited to, Reinforcement Learning, Supervised Learning or Unsupervised Learning approaches for:</span></p><br><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Lifelong Learning / Continual Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Meta-Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Multi-Task Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Transfer Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Domain Adaptation</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Few-Shot Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Out-Of-Distribution Generalization</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Online Learning</span></p></li></ul><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential, as well as in-depth analysis of existing methods and concepts.</span></p><br><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(46,41,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. This track is non-archival, and we accept submissions of published work within the last year, or works that are currently under review. As well as work in progress and preliminary results. The goal is to disseminate information as fast as possible and to foster communication and collaboration within the community.</span></p></span></h2><br class="gmail-Apple-interchange-newline"><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify"><span style="font-size:18px;font-weight:inherit;color:rgb(34,34,34)">Key Dates</span><br></p><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">The planned dates are as follows:</p><ul class="gmail-content gmail-mb-2 gmail-ccolor gmail-ml-6" style="border:0px solid rgb(229,231,235);box-sizing:border-box;list-style:none;margin:0px 0px 0.5rem 1.5rem;padding:0px;font-size:14px;line-height:1.42857;color:rgb(51,51,51)"><li class="gmail-list-disc" style="border:0px solid rgb(229,231,235);box-sizing:border-box;list-style-type:disc">Submission deadline: July 07, 2023, 11:59 pm (AoE)</li><li class="gmail-list-disc" style="border:0px solid rgb(229,231,235);box-sizing:border-box;list-style-type:disc">Notifications: July 13, 2023</li><li class="gmail-list-disc" style="border:0px solid rgb(229,231,235);box-sizing:border-box;list-style-type:disc">Main conference dates: August 22-24, 2023</li></ul><p></p><h3 class="gmail-subhead gmail-mb-2" style="border:0px solid rgb(229,231,235);box-sizing:border-box;font-size:18px;font-weight:inherit;margin:0px 0px 0.5rem;line-height:1.1;font-family:Helvetica,Arial,sans-serif;text-align:justify">Review Process</h3><p class="gmail-content gmail-mb-2 gmail-ccolor" id="gmail-review" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">Papers will receive a light review, focused on the correctness of the presented material. Accepted work will be presented as posters during the workshop track of the conference. The reviews process will be hosted on <a href="https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Workshop_Track" class="gmail-text-cyan-600 gmail-hover:underline gmail-hover:text-cyan-800" target="_blank" style="border:0px solid rgb(229,231,235);box-sizing:border-box;text-decoration:inherit">OpenReview</a>  with submissions and reviews being private until a decision is made.</p><h3 class="gmail-subhead gmail-mb-2" style="border:0px solid rgb(229,231,235);box-sizing:border-box;font-size:18px;font-weight:inherit;margin:0px 0px 0.5rem;line-height:1.1;font-family:Helvetica,Arial,sans-serif;text-align:justify">Formatting and Supplementary Material</h3><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">Submissions should be in the form of an extended abstract of 4 pages using the single-column CoLLAs 2023 format, plus unlimited pages for references and appendices. The appendices should be within the same pdf file as the extended abstract, however an additional zip file can be submitted that can include multiple files of different formats (e.g. videos or code). Note that reviewers are under no obligation to examine the appendix and the supplementary material.</p><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">For previously published works (within the last year), the original paper can be submitted as is, specifying to which venue the work has been accepted.</p><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">Please format the paper using the official LaTeX style files that can be found on overleaf  <a href="https://www.overleaf.com/read/bjccsphsgsbs" class="gmail-text-cyan-600 gmail-hover:underline gmail-hover:text-cyan-800" target="_blank" style="border:0px solid rgb(229,231,235);box-sizing:border-box;text-decoration:inherit">here</a> or on github <a href="https://github.com/collas-conf/collas_2023_latex_template" class="gmail-text-cyan-600 gmail-hover:underline gmail-hover:text-cyan-800" target="_blank" style="border:0px solid rgb(229,231,235);box-sizing:border-box;text-decoration:inherit">here</a>. We do not support submissions in formats other than LaTeX. Please do not modify the layout given by the style file. For any questions, you can reach us at: <a href="mailto:contact@lifelong-ml.cc" class="gmail-text-cyan-600 gmail-hover:underline gmail-hover:text-cyan-800" style="border:0px solid rgb(229,231,235);box-sizing:border-box;text-decoration:inherit">contact@lifelong-ml.cc</a>.</p><p class="gmail-content gmail-mb-2 gmail-ccolor" style="border:0px solid rgb(229,231,235);box-sizing:border-box;margin:0px 0px 0.5rem;font-size:14px;line-height:1.42857;color:rgb(51,51,51);font-family:Helvetica,Arial,sans-serif;text-align:justify">Submissions will be through <a href="https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Workshop_Track" class="gmail-text-cyan-600 gmail-hover:underline gmail-hover:text-cyan-800" style="border:0px solid rgb(229,231,235);box-sizing:border-box;text-decoration:inherit">OpenReview.</a></p></div></div>