Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, which seeks to prove that high-level causal representations are identifiable in weakly supervised settings. We also discuss a few other papers that the team at Qualcomm presented, including neural topological ordering for computation graphs, as well as some of the demos they showcased, which we’ll link to on the show notes page. The complete show notes for this episode can be found at twimlai.com/go/605.

Jaksot(782)

AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63

AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63

The podcast you’re about to hear is the first of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City. My guests this time around are James Villarrubia and Bernie Pra...

6 Marras 201732min

Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - TWiML Talk #62

Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - TWiML Talk #62

The podcast you’re about to hear is the third of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest this time is Graham Taylor, professor of engine...

3 Marras 201737min

Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61

Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61

The podcast you’re about to hear is the second of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest for this interview is Kenneth Conroy, VP of da...

1 Marras 201737min

Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60

Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60

The podcast you’re about to hear is the first of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest for this show is Solmaz Shahalizadeh, Director ...

30 Loka 201735min

Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

We are back with our third show this week, episode 3 of our Autonomous Vehicles Series. My guest this time is Katie Driggs-Campbell, PostDoc in the Intelligent Systems Lab at Stanford University’s Dep...

27 Loka 201733min

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions...

25 Loka 201741min

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

The episode you are about to hear is the first of a new series of shows on Autonomous Vehicles. We all know that self-driving cars is one of the hottest topics in ML & AI, so we had to dig a little de...

23 Loka 201747min

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human f...

16 Loka 201742min

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