Machine Learning Street Talk (MLST)
Episodes
047 Interpretable Machine Learning - Christoph Molnar
14 Mar 2021
Contributed by Lukas
Christoph Molnar is one of the main people to know in the space of interpretable ML. In 2018 he released the first version of his incredible online bo...
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
06 Mar 2021
Contributed by Lukas
Academics think of themselves as trailblazers, explorers — seekers of the truth. Any fundamental discovery involves a significant degree of risk. If...
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
28 Feb 2021
Contributed by Lukas
Microsoft has an interesting strategy with their new “autonomous systems” technology also known as Project Bonsai. They want to create an interfac...
#044 - Data-efficient Image Transformers (Hugo Touvron)
25 Feb 2021
Contributed by Lukas
Today we are going to talk about the *Data-efficient image Transformers paper or (DeiT) which Hugo is the primary author of. One of the recipes of suc...
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
19 Feb 2021
Contributed by Lukas
Professor Mark Bishop does not think that computers can be conscious or have phenomenological states of consciousness unless we are willing to accept ...
#042 - Pedro Domingos - Ethics and Cancel Culture
11 Feb 2021
Contributed by Lukas
Today we have professor Pedro Domingos and we are going to talk about activism in machine learning, cancel culture, AI ethics and kernels. In Pedro's ...
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
03 Feb 2021
Contributed by Lukas
Dr. Simon Stringer. Obtained his Ph.D in mathematical state space control theory and has been a Senior Research Fellow at Oxford University for over 2...
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
31 Jan 2021
Contributed by Lukas
Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. t...
#039 - Lena Voita - NLP
23 Jan 2021
Contributed by Lukas
ena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously, She was a research scientist at Yandex Research a...
#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned
20 Jan 2021
Contributed by Lukas
Professor Kenneth Stanley is currently a research science manager at OpenAI in San Fransisco. We've Been dreaming about getting Kenneth on the show si...
#037 - Tour De Bayesian with Connor Tann
11 Jan 2021
Contributed by Lukas
Connor Tan is a physicist and senior data scientist working for a multinational energy company where he co-founded and leads a data science team. He h...
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
03 Jan 2021
Contributed by Lukas
Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technologies Netherlands B.V. Max is a strong beli...
#035 Christmas Community Edition!
27 Dec 2020
Contributed by Lukas
Welcome to the Christmas special community edition of MLST! We discuss some recent and interesting papers from Pedro Domingos (are NNs kernel machines...
#034 Eray Özkural- AGI, Simulations & Safety
20 Dec 2020
Contributed by Lukas
Dr. Eray Ozkural is an AGI researcher from Turkey, he is the founder of Celestial Intellect Cybernetics. Eray is extremely critical of Max Tegmark, Ni...
#033 Prof. Karl Friston - The Free Energy Principle
13 Dec 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Dr. Keith Duggar and Connor Leahy chat with Prof. Karl Friston. Professor Friston is a British neuroscientist at University ...
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
06 Dec 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to understan...
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
28 Nov 2020
Contributed by Lukas
In this special edition, Dr. Tim Scarfe, Yannic Kilcher and Keith Duggar speak with Gary Marcus and Connor Leahy about GPT-3. We have all had a signif...
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
20 Nov 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic Kilcher discuss multi-arm bandits and pure exploration with Dr. Wouter M. Koolen, Senior Researc...
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
08 Nov 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic Kilcher and Connor Leahy cover a broad range of topics, ranging from academia, GPT-3 and whether pr...
NLP is not NLU and GPT-3 - Walid Saba
04 Nov 2020
Contributed by Lukas
#machinelearning This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic Kilcher speak with veteran NLU expert Dr. Walid Saba. Walid is an old-sch...
AI Alignment & AGI Fire Alarm - Connor Leahy
01 Nov 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Alex Stenlake and Yannic Kilcher speak with AGI and AI alignment specialist Connor Leahy a machine learning engineer from Al...
Kaggle, ML Community / Engineering (Sanyam Bhutani)
28 Oct 2020
Contributed by Lukas
Join Dr Tim Scarfe, Sayak Paul, Yannic Kilcher, and Alex Stenlake have a conversation with Mr. Chai Time Data Science; Sanyam Bhutani! 00:00:00 Intro...
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
20 Oct 2020
Contributed by Lukas
Dr. Tim Scarfe, Yannic Kilcher and Sayak Paul chat with Sara Hooker from the Google Brain team! We discuss her recent hardware lottery paper, pruning ...
The Social Dilemma Part 3 - Dr. Rebecca Roache
11 Oct 2020
Contributed by Lukas
This week join Dr. Tim Scarfe, Yannic Kilcher, and Keith Duggar have a conversation with Dr. Rebecca Roache in the last of our 3-part series on the so...
The Social Dilemma - Part 1
03 Oct 2020
Contributed by Lukas
In this first part of our three part series on the Social Dilemma Netflix film, Dr. Tim Scarfe, Yannic "Lightspeed" Kilcher and Zak Jost gang up with ...
Capsule Networks and Education Targets
29 Sep 2020
Contributed by Lukas
In today's episode, Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe chat about the education chapter in Kenneth Stanley's "Greatness cannot be plan...
Programming Languages, Software Engineering and Machine Learning
25 Sep 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic "Lightspeed" Kilcher have a conversation with Microsoft Senior Software Engineer Sachin Kundu. We s...
Computation, Bayesian Model Selection, Interactive Articles
22 Sep 2020
Contributed by Lukas
This week Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe discuss the theory of computation, intelligence, Bayesian model selection, the intelligen...
Kernels!
18 Sep 2020
Contributed by Lukas
Today Yannic Lightspeed Kilcher and I spoke with Alex Stenlake about Kernel Methods. What is a kernel? Do you remember those weird kernel things which...
Explainability, Reasoning, Priors and GPT-3
16 Sep 2020
Contributed by Lukas
This week Dr. Tim Scarfe and Dr. Keith Duggar discuss Explainability, Reasoning, Priors and GPT-3. We check out Christoph Molnar's book on intepretabi...
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
14 Sep 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Yannic Lightspeed Kicher, Sayak Paul and Ayush Takur interview Mathilde Caron from Facebook Research (FAIR). We discuss Math...
UK Algoshambles, Neuralink, GPT-3 and Intelligence
07 Sep 2020
Contributed by Lukas
This week Dr. Tim Scarfe, Dr. Keith Duggar and Yannic "Lightspeed" Kilcher respond to the "Algoshambles" exam fiasco in the UK where the government we...
Sayak Paul
17 Jul 2020
Contributed by Lukas
This week we spoke with Sayak Paul, who is extremely active in the machine learning community. We discussed the AI landscape in India, unsupervised re...
Robert Lange on NN Pruning and Collective Intelligence
08 Jul 2020
Contributed by Lukas
We speak with Robert Lange! Robert is a PhD student at the Technical University Berlin. His research combines Deep Multi-Agent Reinforcement Learning ...
WelcomeAIOverlords (Zak Jost)
30 Jun 2020
Contributed by Lukas
We welcome Zak Jost from the WelcomeAIOverlords channel. Zak is an ML research scientist at Amazon. He has a great blog at http://blog.zakjost.com and...
Facebook Research - Unsupervised Translation of Programming Languages
24 Jun 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk Dr. Tim Scarfe, Yannic Kilcher and Connor Shorten spoke with Marie-Anne Lachaux, Baptiste Roziere and ...
Francois Chollet - On the Measure of Intelligence
19 Jun 2020
Contributed by Lukas
We cover Francois Chollet's recent paper. Abstract; To make deliberate progress towards more intelligent and more human-like artificial systems, we ne...
OpenAI GPT-3: Language Models are Few-Shot Learners
06 Jun 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten discuss their takeaways from OpenAI’s GPT-3 language ...
Jordan Edwards: ML Engineering and DevOps on AzureML
03 Jun 2020
Contributed by Lukas
This week we had a super insightful conversation with Jordan Edwards, Principal Program Manager for the AzureML team! Jordan is on the coa...
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
02 Jun 2020
Contributed by Lukas
*Note this is an episode from Tim's Machine Learning Dojo YouTube channel. Join Eric Craeymeersch on a wonderful discussion all about ML enginee...
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
25 May 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten interviewed Harri Valpola, CEO and Founder of Curious A...
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
22 May 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk, Tim Scarfe, Connor Shorten and Yannic Kilcher react to Yoshua Bengio’s ICLR 2020 Keynote “Deep Le...
ICLR 2020: Yann LeCun and Energy-Based Models
19 May 2020
Contributed by Lukas
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 ...
The Lottery Ticket Hypothesis with Jonathan Frankle
19 May 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk, we chat with Jonathan Frankle, author of The Lottery Ticket Hypothesis. Frankle has continued researc...
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
19 May 2020
Contributed by Lukas
In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten chat about Large-scale Transfer Learning in Natural Lan...
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
02 May 2020
Contributed by Lukas
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 fe...
Exploring Open-Ended Algorithms: POET
24 Apr 2020
Contributed by Lukas
Three YouTubers; Tim Scarfe - Machine Learning Dojo (https://www.youtube.com/channel/UCXvHuBMbgJw67i5vrMBBobA), Connor Shorten - Henry AI Labs (https:...