Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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Avsnitt(271)

Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten interviewed Harri Valpola, CEO and Founder of Curious AI. We continued our discussion of System 1 and Sys...

25 Maj 20201h 38min

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

In this episode of Machine Learning Street Talk, Tim Scarfe, Connor Shorten and Yannic Kilcher react to Yoshua Bengio’s ICLR 2020 Keynote “Deep Learning Priors Associated with Conscious Processing”. B...

22 Maj 20202h 34min

ICLR 2020: Yann LeCun and Energy-Based Models

ICLR 2020: Yann LeCun and Energy-Based Models

This week Connor Shorten, Yannic Kilcher and Tim Scarfe reacted to Yann LeCun's keynote speech at this year's ICLR conference which just passed. ICLR is the number two ML conference and was completely...

19 Maj 20202h 12min

The Lottery Ticket Hypothesis with Jonathan Frankle

The Lottery Ticket Hypothesis with Jonathan Frankle

In this episode of Machine Learning Street Talk, we chat with Jonathan Frankle, author of The Lottery Ticket Hypothesis. Frankle has continued researching Sparse Neural Networks, Pruning, and Lottery ...

19 Maj 20201h 26min

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten chat about Large-scale Transfer Learning in Natural Language Processing. The Text-to-Text Transfer Transf...

19 Maj 20201h 40min

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

According to Yann Le Cun, the next big thing in machine learning is unsupervised learning. Self-supervision has changed the entire game in the last few years in deep learning, first transforming the l...

2 Maj 20201h 14min

Exploring Open-Ended Algorithms: POET

Exploring Open-Ended Algorithms: POET

Three YouTubers; Tim Scarfe - Machine Learning Dojo (https://www.youtube.com/channel/UCXvHuBMbgJw67i5vrMBBobA), Connor Shorten - Henry AI Labs (https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw...

24 Apr 20201h 12min

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