<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><span id="docs-internal-guid-2c3153ee-7fff-efe4-304a-64bf117d1e34" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We invite submissions of papers to the ICLR 2021 workshop on Learning to Learn. </span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">****** Key Info: ******</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Workshop Website:</span><a href="https://sites.google.com/view/learning-2-learn/" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> </span><span style="color: rgb(17, 85, 204); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: underline; text-decoration-skip: none; vertical-align: baseline; white-space: pre-wrap;" class="">https://sites.google.com/view/learning-2-learn/</span></a></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">The goal of the workshop is to bring together scientists from different backgrounds to further the understanding and development of learning to learn algorithms. In particular we are interested in creating a platform to enable the exchange between the fields of neuroscience and machine learning</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="background-color: rgb(255, 255, 255); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We welcome contributions on all aspects of Learning To Learn, and specifically encourage contributions with respect to: </span></div><ol style="margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;" class=""><li dir="ltr" aria-level="1" style="list-style-type: decimal; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" class=""><p dir="ltr" role="presentation" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">What do we know about how humans learn to learn? How much of this knowledge has already been realized in intelligent systems and what remains to be explored?</span></p></li><li dir="ltr" aria-level="1" style="list-style-type: decimal; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">What should be our expectation of meta learning in intelligent systems? Are we currently evaluating the performance of meta learning in a meaningful way or are our learning problems and evaluations ill-posed? </span></div></li><li dir="ltr" aria-level="1" style="list-style-type: decimal; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Related to 2), how does meta learning relate to the “no free lunch” theorem, and how do we keep this in mind when implementing learning to learn approaches in intelligent systems. </span></div></li><li dir="ltr" aria-level="1" style="list-style-type: decimal; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" class=""><p dir="ltr" role="presentation" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 12pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">How can we meta-learn in a lifelong learning setting? Should we meta-learn how to learn continuously or should we continuously meta-learn, or both? How do humans do it?</span></p></li></ol><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">****** Key Dates: ******</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Submission deadline: Feb 26th 2021</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Workshop day: May 8th 2021 (virtual)</span></div><br class=""><br class=""><span style="white-space: pre-wrap;" class="">****** Workshop Abstract******</span><br class=""><span style="white-space: pre-wrap;" class=""><br class=""></span></span><div class=""><span class="">Recent years have seen a lot of interest in the use and development of learning-to-learn algorithms. In this workshop, we’d like to discuss how humans meta-learn, and what we can and should expect from learning-to-learn in the field of machine learning. In particular we are interested in creating a platform to enable the exchange between the fields of neuroscience and machine learning to create an opportunity to reflect upon questions that we believe are important to further advance the field of meta learning in the machine learning community. <br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We believe that it is an important moment for the machine learning community to reflect upon these questions in order to advance the field and increase its variety in approaching learning to learn. We hope that by fostering discussions between cognitive science and machine learning researchers, we enable both sides to draw inspiration to further the understanding and development of learning-to-learn algorithms.</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Invited Speakers:</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><a href="https://ishita-dg.github.io/" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Ishita Dasgupta</span></a><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (DeepMind)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><a href="https://www.cs.utexas.edu/users/risto/" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Risto Miikkulainen</span></a><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (University of Texas at Austin)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><a href="https://www.egrefen.com/" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Edward Grefenstette</span></a><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (FAIR)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><a href="http://www.janexwang.com/" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Jane Wang</span></a><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (DeepMind)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Erin Grant</span><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (UC Berkeley)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><a href="https://profiles.stanford.edu/jennifer-raymond" style="text-decoration: none;" class=""><span style="color: rgb(0, 0, 0); font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Jennifer Raymon</span></a><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (Stanford)</span></div><br class=""><br class=""></span><span style="white-space: pre-wrap;" class="">We look forward to receiving your submissions!</span><span class=""><br class=""></span><span style="white-space: pre-wrap;" class=""><br class=""></span></div><div class="">The organizing committee<span class=""><br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Sarah Bechtle (Max-Planck-Institute for Intelligent Systems, Tübingen)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Todor Davchev (University of Edinburgh)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Yevgen Chebotar (Google Brain)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Timothy Hospedales (University of Edinburgh and Samsung AI Research)</span></div><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Franziska Meier (Facebook AI Research)</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">email: </span><span style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""><a href="mailto:learningtolearn.iclr2021@gmail.com" class="">learningtolearn.iclr2021@gmail.com</a></span></div></span><br class="Apple-interchange-newline"></div></body></html>