Endless Summer School:
NeurIPS 2022 Highlights

Date
Thursday, February 16, 2023
Start Time
10:00 AM
Duration
120 minutes

AI research is moving at lightning speed and it can be hard for industry-focused practitioners to keep up. Designed for a highly technical audience who wants to take their understanding of AI to the next level, Endless Summer School showcases new and interesting research from Vector's network of 700 researchers. This series delves into the latest advances in AI domains, helps to distill thousands of academic papers into the critical few insights practitioners need, and keeps technical practitioners at the cutting edge of AI research.

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Description

The Endless Summer School (ESS) session will cover highlights on exceptional state-of-the art research in Machine Learning selected in Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022. NeurIPS is a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers, machine learning in practice, a series of tutorials, and topical workshops. The ESS event throws light on recent advances that have been presented in NeurIPS 2022. Furthermore, the event showcases a summary of selected papers at the conference, important takeaways, and features work of researchers who performed ground breaking research, the students will discuss their accepted work comprehensively. This session facilitates the Vector community to develop the understanding of recent advancements presented at the conference and note the key takeaways that can be implemented in research and industry.

All times in ET

10:00 AM

Sedef Akinli Kocak, Director, Vector Institute
Opening remarks

10:02 AM

John Willes, Vector Institute
Talk Title: NeurIPS 2022 Highlights and Takeaways

11:00 AM

David Fleet, Vector Institute, Google Research, University of Toronto
Talk Title: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

11:20 AM

Silvia Sellán, University of Toronto
Talk Title: Breaking Bad: A Dataset for Geometric Fracture and Reassembly

11:40 AM

Mohammad Yaghini, University of Toronto, Vector Institute
Talk Title: Washing The Unwashable: On The (Im)possibility of Fairwashing Detection

12:00 PM

Closing remarks & adjourn

John Willes
John Willes
Technical Team Lead
Vector Institute

David Fleet
David Fleet
Professor, University of Toronto; Research Scientist, Google Brain Team

Silvia Sellán
Silvia Sellán
PhD candidate
University of Toronto

Mohammad Yaghini
Mohammad Yaghini
PhD Student at UoT & Vector Institute
CleverHans Lab, Vector Institute, University of Toronto

 

This event is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.