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Machine Learning Street Talk (MLST)

Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship

Episodes

Total: 189

#48 Machine Learning Security - Andy Smith
2021/3/16

First episode in a series we are doing on ML DevOps. Starting with the thing which nobody seems to b

047 Interpretable Machine Learning - Christoph Molnar
2021/3/14

Christoph Molnar is one of the main people to know in the space of interpretable ML. In 2018 he rele

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
2021/3/6

Academics think of themselves as trailblazers, explorers — seekers of the truth. Any fundamental dis

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
2021/2/28

Microsoft has an interesting strategy with their new “autonomous systems” technology also known as P

#044 - Data-efficient Image Transformers (Hugo Touvron)
2021/2/25

Today we are going to talk about the *Data-efficient image Transformers paper or (DeiT) which Hugo i

#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
2021/2/19

Professor Mark Bishop does not think that computers can be conscious or have phenomenological states

#042 - Pedro Domingos - Ethics and Cancel Culture
2021/2/11

Today we have professor Pedro Domingos and we are going to talk about activism in machine learning,

#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
2021/2/3

Dr. Simon Stringer. Obtained his Ph.D in mathematical state space control theory and has been a Seni

#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
2021/1/31

Adversarial examples have attracted significant attention in machine learning, but the reasons for t

#039 - Lena Voita - NLP
2021/1/23

ena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously,

#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned
2021/1/20

Professor Kenneth Stanley is currently a research science manager at OpenAI in San Fransisco. We've

#037 - Tour De Bayesian with Connor Tann
2021/1/11

Connor Tan is a physicist and senior data scientist working for a multinational energy company where

#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
2021/1/3

Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technol

#035 Christmas Community Edition!
2020/12/27

Welcome to the Christmas special community edition of MLST! We discuss some recent and interesting p

#034 Eray Özkural- AGI, Simulations & Safety
2020/12/20

Dr. Eray Ozkural is an AGI researcher from Turkey, he is the founder of Celestial Intellect Cybernet

#033 Prof. Karl Friston - The Free Energy Principle
2020/12/13

This week Dr. Tim Scarfe, Dr. Keith Duggar and Connor Leahy chat with Prof. Karl Friston. Professor

#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
2020/12/6

This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google B

#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
2020/11/28

In this special edition, Dr. Tim Scarfe, Yannic Kilcher and Keith Duggar speak with Gary Marcus and

#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
2020/11/20

This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic Kilcher discuss multi-arm bandits and pure exp

#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
2020/11/8

This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic Kilcher and Connor Leahy cover a broad range of t