By Angela Berti6 October 2023 TILOS Fireside Chat: Theory in the Age of Modern AI A conversation about theory in the age of modern artificial intelligence (AI) with TILOS member panelists Nisheeth Vishnoi, Tara Javidi, Misha Belkin, and Arya Mazumdar (moderator). Foundations,Panel Discussions 3 views You may also like 00:57:20 TILOS Seminar: Single location regression and attention-based models 1 views Foundations,TILOS Seminar Series attention mechanisms,sparse token learning,transformers 01:01:02 TILOS Seminar: Synthetic Tasks as Testbeds for Attributing Model Behavior 1 views Foundations,TILOS Seminar Series deep learning,learning theory,machine learning,neural networks,synthetic tasks 01:03:55 TILOS Seminar: Unlearnable Facts Cause Hallucinations in Pretrained Language Models 15 views Foundations,Machine Learning,TILOS Seminar Series hallucinations,machine learning,natural language processing,pretrained LMs 00:47:35 TILOS Seminar: How Transformers Learn Causal Structure with Gradient Descent 7 views Foundations,Machine Learning,TILOS Seminar Series causal inference,machine learning,transformers 01:11:07 TILOS Seminar: Off-the-shelf Algorithmic Stability 6 views Foundations,Machine Learning,TILOS Seminar Series algorithmic stability,machine learning 01:04:58 TILOS Seminar: What Kinds of Functions do Neural Networks Learn? Theory and Practical Applications 8 views Foundations,Machine Learning,TILOS Seminar Series machine learning,multi-task learning,neural networks,single-task learning 55:35 TILOS Seminar: Transformers Learn In-context by (Functional) Gradient Descent 6 views Foundations,Machine Learning,TILOS Seminar Series in-context learning,machine learning architectures,neural networks,transformers 59:25 TILOS Seminar: How Large Models of Language and Vision Help Agents to Learn to Behave 2 views Foundations,Machine Learning,TILOS Seminar Series foundation models,vision models,vision-language models 01:04:33 TILOS Webinar: AI Ethics in Research 3 views AI Ethics,Panel Discussions bias,fairness 55:02 TILOS Seminar: The Dissimilarity Dimension: Sharper Bounds for Optimistic Algorithms 2 views Foundations,TILOS Seminar Series bandits,Eluder dimension,optimistic algorithms,reinforcement learning 123»Page 1 of 3
