<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-b672b570-7fff-e328-70a4-907d5bfacff6" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We are excited to announce the workshop of “</span><span style="font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Sparsity in Neural Networks: Advancing Understanding and Practice</span><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">”. Its inaugural version will take place online at July 8-9, 2021. </span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">This new workshop will bring together members of many communities working on neural network sparsity to share their perspectives and the latest cutting-edge research. We have assembled an incredible group of speakers, and we are seeking contributed work from the community. </span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Attendance is free: please register at the workshop website: </span><a href="https://sites.google.com/view/sparsity-workshop-2021/home" style="text-decoration:none;" class=""><span style="font-size: 11pt; font-family: Arial; 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/sparsity-workshop-2021/home</span></a><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> </span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Submission and review will be handled by OpenReview. The link will be announced on the workshop website soon.</span></div><h2 dir="ltr" style="line-height:1.38;margin-top:18pt;margin-bottom:6pt;" class=""><span style="font-size: 16pt; font-family: Arial; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Important Dates</span></h2><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">June 15, 2021 [AOE time]: Submit an abstract and supporting materials</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">June 25, 2021: Notification of acceptance</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">July 8-9, 2021: Workshop</span></div></li></ul><h2 dir="ltr" style="line-height:1.38;margin-top:18pt;margin-bottom:6pt;" class=""><span style="font-size: 16pt; font-family: Arial; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Topics (including but not limited to)</span></h2><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Algorithms for Sparsity</span></div></li><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Pruning both for post-training inference, and during training</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Algorithms for fully sparse training (fixed or dynamic), including biologically inspired algorithms</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Algorithms for ephemeral (activation) sparsity</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Scaling up sparsity (e.g., large sparsely activated expert models)</span></div></li></ul><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Systems for Sparsity</span></div></li><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Libraries, kernels, and compilers for accelerating sparse computation</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Hardware with support for sparse computation</span></div></li></ul><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Theory and Science of Sparsity</span></div></li><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">When is overparameterization necessary (or not)</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Optimization behavior of sparse networks</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Representation ability of sparse networks</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Sparsity and generalization</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">The stability of sparse models</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Forgetting owing to sparsity, including fairness, privacy and bias concerns</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Connecting neural network sparsity with traditional sparse dictionary modeling</span></div></li></ul><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Applications for Sparsity</span></div></li><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Resource-efficient learning at the edge or the cloud</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Data-efficient learning for sparse models</span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Communication-efficient distributed or federated learning with sparse models </span></div></li><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Graph and network science applications</span></div></li></ul></ul><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">This workshop is non-archival, and it will not have proceedings. We permit under-review or concurrent submissions. Submissions will receive one of three possible decisions:</span></div><br class=""><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Accept (Spotlight Presentation)</span><span style="font-size: 11pt; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">. The authors will be invited to present the work during the main conference, with live Q&A.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Accept (Poster Presentation)</span><span style="font-size: 11pt; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">. The authors will be invited to present their work as a poster during the workshop’s interactive poster sessions.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Reject</span><span style="font-size: 11pt; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">. The paper will not be presented at the workshop.</span></div></li></ul><h2 dir="ltr" style="line-height:1.38;margin-top:18pt;margin-bottom:6pt;" class=""><span style="font-size: 16pt; font-family: Arial; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Eligible Work</span></h2><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">The latest research innovations</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> at all stages of the research process, from work-in-progress to recently published papers</span></div></li><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: circle; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We define “recent” as presented within one year of the workshop, e.g., the manuscript is first publicly available on arxiv or else no earlier than July 9, 2020.</span></div></li></ul><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Position or survey papers</span><span style="font-size: 11pt; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> on any topics relevant to this workshop (see above)</span></div></li></ul><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Required materials</span></div><ol style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: decimal; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">One mandatory abstract</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (250 words or fewer) describing the work</span></div></li><li dir="ltr" style="list-style-type: decimal; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="1" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">One or more</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> </span><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">of the following accompanying materials</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> that describe the work in further detail. Higher quality accompanying materials improve the likelihood of acceptance and of spotlighting work with an oral presentation.</span></div></li><ol style="margin-top:0;margin-bottom:0;padding-inline-start:48px;" class=""><li dir="ltr" style="list-style-type: lower-alpha; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">A poster</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (in PDF form) presenting results of work-in-progress.</span></div></li><li dir="ltr" style="list-style-type: lower-alpha; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">A link to a blog post</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> (e.g., distill.pub, Medium) describing results.</span></div></li><li dir="ltr" style="list-style-type: lower-alpha; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">A workshop paper</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> of approximately four pages in length presenting results of work-in-progress. Papers should be submitted using the NeurIPS 2021 format.</span></div></li><li dir="ltr" style="list-style-type: lower-alpha; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">A position paper</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> with no page limit.</span></div></li><li dir="ltr" style="list-style-type: lower-alpha; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre;" aria-level="2" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">A published paper</span><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class=""> in the form that it was published. We will only consider papers that were published in the year prior to this workshop.</span></div></li></ol></ol><br class=""><div style="line-height: 1.38; background-color: rgb(255, 255, 255); margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; background-color: transparent; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We hope you will join us in attendance!</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Best Regards,</span></div><h2 dir="ltr" style="line-height:1.38;margin-top:18pt;margin-bottom:6pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-weight: 400; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">On behalf of the organizer team (Ari, Atlas, Jonathan, Utku, Michela, Siddhant, Elena, Chang, Trevor, Decebal, and Erich)</span></h2></span></body></html>