Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
Kategorier:
205 Avsnitt
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ICLR 2020: Yann LeCun and Energy-Based Models
Publicerades: 2020-05-19 -
The Lottery Ticket Hypothesis with Jonathan Frankle
Publicerades: 2020-05-19 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Publicerades: 2020-05-19 -
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Publicerades: 2020-05-02 -
Exploring Open-Ended Algorithms: POET
Publicerades: 2020-04-24
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/).
