An Introduction to Self-supervised Learning

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• Srinivasan Keshav, University of Cambridge
• Thursday 12 June 2025, 13:00-14:00
• Room SS03 at the William Gates Building and on Zoom: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon .

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Abstract

I will present a short tutorial on some approaches to self-supervised learning (SSL), assuming no background in machine learning. If time permits, I will present examples of the use of SSL for problems in energy systems.

Bio

Srinivasan Keshav is the Robert Sansom Professor of Computer Science at the University of Cambridge, focusing on the intersection of computer science and sustainability. He earned his PhD from UC Berkeley and has held roles at Bell Labs, Cornell University, and the University of Waterloo. A Fellow of the Royal Society of Canada, ACM , and IEEE , Keshav is recognized for his contributions to networking and sustainability. His research includes innovations in energy systems, carbon footprint reduction, and forest conservation using remote sensing. Keshav emphasizes practical applications of computer science to global challenges, fostering collaborative solutions in smart grids and biodiversity conservation.

This talk is part of the Energy and Environment Group, Department of CST series.

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• Room SS03 at the William Gates Building and on Zoom: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon
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