{"isCandidateLoggedIn": false, "isProfileRegistered": false, "isAllowedForRegistration": true, "registrationNotAllowedReason": null, "candidateLoginMandatory": false, "eventData": {"name": "Qualcomm @ NeurIPS 2023", "groupId": "qualcomm.com", "plannedEventEncId": "5YbyGB4EZ", "createdByName": "Brian Millado", "institution": "", "venue": "New Orleans Ernest N. Morial Convention Center", "address": "", "description": "<p>Qualcomm is proud to be attending&nbsp;<strong><u>NeurIPS 2023</u></strong> in New Orleans, LA! Qualcomm is the on-device AI leader, conducting novel foundational and applied AI research, to enable intelligent computing everywhere.\u200b</p><p><br></p><p>We're inviting all those who have a passion for AI and are interested in opportunities in Deep Learning and Research and Development to please follow the steps below.</p><p>&nbsp;</p><p><br></p><h1><strong><u>Register</u> </strong>by clicking on the blue link.</h1><p>This allows us to identify your application as someone we met at NeurIPS.</p><p><br></p><p><br></p><p><br></p><p><br></p><p><strong><em>COME VISIT US @ NeurIPS 2023! (see below) and register for on-site interviews</em></strong></p><p><strong><em>\ufeff</em></strong></p><p><strong>Qualcomm Booth</strong></p><p>Please stop by<strong> booth #609 in Hall C/D</strong>, check out our exciting demos and meet the engineers that make AI ubiquitous across devices. We'll be at the below sessions.</p><p><br></p><p><strong>Expo Day Demos</strong></p><p>Location: Ballroom A - C</p><p>Time: Sun. Dec. 10 @ 9:00am \u2013 12:00pm / 2:00 - 4:00pm</p><p>Sessions include:</p><ul><li>Fast visual content generation with Stable Diffusion on mobile devices \u2013 (TBD)</li><li>Real-time Portrait Video Relighting with AI-Generated HDRI maps on Mobile - (Min-Hui Lin)</li><li>Fast and Accurate Inference of LLaMA2-Chat 7B on a Smartphone via Quantization Aware Training and Speculative Decoding with Knowledge Distillation \u2013 (TBD)</li><li>Enhanced Segmentation for Video Conferencing with On-device Learning (ODL) \u2013 (Debasmit Das)</li></ul><p><br></p><p><strong>Poster Sessions</strong></p><p><em>\"Scalarization for Multi-Task and Multi-Domain Learning at Scale\"</em></p><p>Authors: Amelie Royer \u00b7 Tijmen Blankevoort \u00b7 Babak Ehteshami Bejnordi</p><p>Location: Great Hall &amp; Hall B1+B2 #1005</p><p>Time: Tues. Dec. 12 @ 8:45 a.m. PST \u2014 10:45 a.m. PST</p><p><br></p><p><em>\u201cPruning vs Quantization: Which is Better?\u201d</em></p><p>Authors: Andrey Kuzmin \u00b7 Markus Nagel \u00b7 Mart van Baalen \u00b7 Arash Behboodi \u00b7 Tijmen Blankevoort</p><p>Location: Great Hall &amp; Hall B1+B2 #523</p><p>Time: Tues. Dec. 12 @ 3:15 p.m. PST \u2014 5:15 p.m. PST</p><p><br></p><p><em>\u201cImplicit Convolutional Kernels for Steerable CNNs\u201d</em></p><p>Authors: Maksim Zhdanov \u00b7 Nico Hoffmann \u00b7 Gabriele Cesa</p><p>Location: Great Hall &amp; Hall B1+B2 #620</p><p>Time: Tues. Dec. 12 @ 3:15 p.m. PST \u2014 5:15 p.m. PST</p><p><br></p><p><em>\u201cGeometric Algebra Transformer\u201d</em></p><p>Authors: Johann Brehmer \u00b7 Pim de Haan \u00b7 S\u00f6nke Behrends \u00b7 Taco Cohen</p><p>Location: Great Hall &amp; Hall B1+B2 #627</p><p>Time: Tues. Dec. 12 @ 3:15 p.m. PST \u2014 5:15 p.m. PST</p><p><br></p><p><em>\u201cOpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding\u201d</em></p><p>Authors: Minghua Liu \u00b7 Ruoxi Shi \u00b7 Kaiming Kuang \u00b7 Yinhao Zhu \u00b7 Xuanlin Li \u00b7 Shizhong Han \u00b7 Hong Cai \u00b7 Fatih Porikli \u00b7 Hao Su</p><p>Location: Great Hall &amp; Hall B1+B2 #110</p><p>Time: Wed. Dec. 12 @ 8:45 a.m. PST \u2014 10:45 a.m. PST</p><p><br></p><p><em>\u201cEDGI: Equivariant Diffusion for Planning with Embodied Agents\u201d</em></p><p>Authors: Johann Brehmer \u00b7 Joey Bose \u00b7 Pim de Haan \u00b7 Taco Cohen</p><p>Location: Great Hall &amp; Hall B1+B2 #1512</p><p>Time: Wed. 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