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 appe...
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Episodes (262)
Facebook Research - Unsupervised Translation of Programming Languages
Machine Learning Street Talk (MLST)
Francois Chollet - On the Measure of Intelligence
Machine Learning Street Talk (MLST)
OpenAI GPT-3: Language Models are Few-Shot Learners
Machine Learning Street Talk (MLST)
Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Machine Learning Street Talk (MLST)
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Machine Learning Street Talk (MLST)
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Machine Learning Street Talk (MLST)
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
The Lottery Ticket Hypothesis with Jonathan Frankle
Machine Learning Street Talk (MLST)
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transforme...
Machine Learning Street Talk (MLST)
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Machine Learning Street Talk (MLST)
Exploring Open-Ended Algorithms: POET
Machine Learning Street Talk (MLST)