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5 videos found
Title slide for a presentation by Dr. Surbhi Goel titled "Synthetic Tasks as Testbeds for Attributing Model Behavior"
01:01:02
TILOS Seminar: Synthetic Tasks as Testbeds for Attributing Model Behavior
239views
Foundations,
TILOS Seminar Series
deep learning,
learning theory,
machine learning,
neural networks,
synthetic tasks
Title slide for a presentation by Robert Nowak titled "What Kinds of Functions do Neural Networks Learn? Theory and Practical Applications"
01:04:58
TILOS Seminar: What Kinds of Functions do Neural Networks Learn? Theory and Practical Applications
268views
Foundations,
Machine Learning,
TILOS Seminar Series
machine learning,
multi-task learning,
neural networks,
single-task learning
Title slide for a presentation by Xiang Cheng titled "Transformers learn in-context by (functional) gradient descent"
55:35
TILOS Seminar: Transformers Learn In-context by (Functional) Gradient Descent
282views
Foundations,
Machine Learning,
TILOS Seminar Series
in-context learning,
machine learning architectures,
neural networks,
transformers
Title slide for a presentation by Max Welling titled "The Synergy between Machine Learning and the Natural Sciences"
01:09:13
TILOS-HDSI Distinguished Colloquium: The Synergy between Machine Learning and the Natural Sciences
295views
Machine Learning,
TILOS Seminar Series
machine learning,
natural science,
neural networks,
neuroscience
Title slide for a presentation titled "Rare Gems: Finding Lottery Tickets at Initialization"
01:01:13
TILOS Seminar: Rare Gems: Finding Lottery Tickets at Initialization
308views
Foundations,
Machine Learning,
TILOS Seminar Series
deep learning,
lottery ticket hypothesis,
machine learning,
neural networks
NSF UC San Diego Halıcıoğlu School of Data Science and Computing Brown University MIT National University Penn Texas Yale
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This project is supported by the U.S. National Science Foundation under awards 2112665 and 2622219. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation.

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