Exploring robustness in foundation models at NeurIPS.
Visit Neurips2022-Foundational Robustness of Foundation ModelsNeurIPS2022-Foundational Robustness of Foundation Models is an academic resource and event session exploring the core challenges and solutions around the robustness and reliability of foundation models in machine learning and AI. Targeted at researchers, practitioners, and students, it is hosted as part of the broader NeurIPS annual conference, a premier event in AI/ML. The tool offers a forum for presenting peer-reviewed papers, sharing developments, and discussing open questions in foundational robustness across interdisciplinary tracks.
Visit Neurips2022-Foundational Robustness of Foundation Models's official website for product details and getting started.
Access the full list of peer-reviewed papers presented at NeurIPS 2022, including those on foundational robustness of foundation models.
Explore the workshops held during NeurIPS 2022 that focus on foundational models and related topics.
Access the peer-reviewed papers presented at NeurIPS 2022, including those on foundational robustness of foundation models.
Find information about the NeurIPS 2022 conference schedule, sessions, and speakers.