This is the fourth edition of the Bayes-duality workshop focusing on the development of AI that learns adaptively, robustly and continuously, like humans. The project is headed by Emtiyaz Khan (RIKEN AIP) , along with PIs Rio Yokota (Science Tokyo), Kennichi Bannai (Keio University), and Julyan Arbel (INRIA). The main goal of the meeting is twofold. First, to showcase our research conducted at RIKEN-AIP, and second, to discuss (and refine) the long-term goals of the JST-CREST project and foster collaborations among the attendees. Only Part 2 of the workshop is open to the public (through live streaming) and will feature invited talks by world-leading researchers working on related topics. Part 1 will be closed meetings exclusively for the collaborators of the Bayes-duality project.
Similar to the previous edition, we hope that the proposed activities help attendees increase their research's impact, outreach and help them network. This workshop is supported by RIKEN-AIP subsidy budget and the JST CREST Grant JPMJCR2112 on “A new Bayes-duality principle for adaptive, robust, and lifelong learning of AI systems”.
All talks in Part 2 (June 24-26) will be streamed live. In-person attendance is limited to RIKEN-AIP researchers and invited guests. Videos will also be made publicly available, subject to the consent of speakers, attendees, and organizers.
To be announced