Diving into Deep InfoMax with Dr. Devon Hjelm | Podcast

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Episode 115 | May 13, 2020

Dr. Devon Hjelm is a senior researcher at the Microsoft Research lab in Montreal, and today, he joins me to dive deep into his research on Deep InfoMax, a novel self-supervised learning approach to training AI models – and getting good representations – without human annotation. He also tells us how an interest in neural networks, first human and then machine, led to an inspiring career in deep learning research.

See more on this and other Microsoft Research podcast episodes: https://www.microsoft.com/en-us/research/blog/category/podcast/



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Tags:
Deep InfoMax
training AI models
self-supervised learning approach
neural networks
deep learning research
Devon Hjelm
Microsoft Research Podcast
Microsoft Research Montreal