Machine Learning Street Talk (MLST)
Episodes 271 total
Francois Chollet - On the Measure of Intelligence
We cover Francois Chollet's recent paper. Abstract; To make deliberate progress towards more intelligent and more human-like artificial systems, we need to be f…
OpenAI GPT-3: Language Models are Few-Shot Learners
In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten discuss their takeaways from OpenAI’s GPT-3 language model. With…
Jordan Edwards: ML Engineering and DevOps on AzureML
This week we had a super insightful conversation with Jordan Edwards, Principal Program Manager for the AzureML team! Jordan is on the coalface of t…
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
*Note this is an episode from Tim's Machine Learning Dojo YouTube channel. Join Eric Craeymeersch on a wonderful discussion all about ML engineering, comp…
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 cont…
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…
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 num…
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 Spars…
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 Proc…
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…
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.yout…