Physics for Machine Learning (Physics4ML)ĪI for Agent-Based Modelling Community (AI4ABM) Trustworthy and Reliable Large-Scale Machine Learning Models Organizers include: Rishabh Agarwal, Ted Xiao, Max Schwarzer
/cdn.vox-cdn.com/uploads/chorus_image/image/59248429/DSCF3813.0.0.jpg "jeff dean google keynote")
Reincarnating Reinforcement Learning (Reincarnating RL) Organizers include: Julia Elliott, Phil Culliton, Ray Harvey Workshop Chairs include: Aisha Walcott-Bryant, Rose Yuĭiversity, Equity & Inclusion Chairs include: Rosanne 2023: ML Solutions in Africa Continue below to find the many ways in which Google researchers are engaged at ICLR 2023, including workshops, papers, posters and talks (Google affiliations in bold). If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics. This year we are presenting over 100 papers and are actively involved in organizing and hosting a number of different events, including workshops and interactive sessions. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.
The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. Posted by Catherine Armato, Program Manager, Google
0 kommentar(er)
