Machine Learning Street Talk (MLST)
En podcast af Machine Learning Street Talk (MLST)
217 Episoder
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SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Udgivet: 14.9.2020 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Udgivet: 7.9.2020 -
Sayak Paul
Udgivet: 17.7.2020 -
Robert Lange on NN Pruning and Collective Intelligence
Udgivet: 8.7.2020 -
WelcomeAIOverlords (Zak Jost)
Udgivet: 30.6.2020 -
Facebook Research - Unsupervised Translation of Programming Languages
Udgivet: 24.6.2020 -
Francois Chollet - On the Measure of Intelligence
Udgivet: 19.6.2020 -
OpenAI GPT-3: Language Models are Few-Shot Learners
Udgivet: 6.6.2020 -
Jordan Edwards: ML Engineering and DevOps on AzureML
Udgivet: 3.6.2020 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Udgivet: 2.6.2020 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Udgivet: 25.5.2020 -
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Udgivet: 22.5.2020 -
ICLR 2020: Yann LeCun and Energy-Based Models
Udgivet: 19.5.2020 -
The Lottery Ticket Hypothesis with Jonathan Frankle
Udgivet: 19.5.2020 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Udgivet: 19.5.2020 -
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Udgivet: 2.5.2020 -
Exploring Open-Ended Algorithms: POET
Udgivet: 24.4.2020
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/).