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Stanford University

Stanford Seminar 2022 - Self Attention and Non-Parametric Transformers

Stanford University via YouTube

Overview

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This course covers the origins and intuitions of Transformers, followed by an in-depth discussion on Non-Parametric Transformers (NPTs), recently accepted to NeurIPS. The course aims to provide insights into building massive neural networks and making them accessible to engineers and researchers. The teaching method involves lectures by experts in the field. This course is intended for individuals interested in advanced topics in neural networks, specifically in the areas of Transformers and non-parametric models.

Syllabus

CS25 I Stanford Seminar 2022 - Self Attention and Non-parametric transformers (NPTs)

Taught by

Stanford Online

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