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Artwork for The AutoML Podcast

The AutoML Podcast

AutoML Media
Automl
Reinforcement Learning
Machine Learning
Neural Architecture Search
Large Language Models
Meta Learning
Nyckel
Foundation Models
Research Methodology
Explainability
Quicktune
Performance Prediction Methods
Deep Learning
Efficientnet
Mobilenet
Edge Devices
Coralnet
Self-Driving Cars
Mlgym
Statistics

A show about the science and engineering behind AutoML.

PublishesMonthlyEpisodes43Founded4 years ago
Number of ListenersCategory
Technology

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Artwork for The AutoML Podcast

Latest Episodes

AutoML is dead an LLMs have killed it? MLGym is a benchmark and framework testing this theory. Roberta Raileanu and Deepak Nathani discuss how well current LLMs are doing at solving ML tasks, what the biggest roadblocks are, and what that means for A... more

Where and how can we use foundation models in AutoML? Richard Song, researcher at Google DeepMind, has some answers. Starting off from his position paper on leveraging foundation models for optimization, we chat about what makes foundation models val... more

Oscar Beijbom is talking about what it's like to run an AutoML startup: Nyckel. Beyond that, we chat about the differences between academia and industry, what truly matters in application and more.

Check out Nyckel at: www.nyckel.com/

Colin White, head of research at Abacus AI, takes us on a tour of Neural Architecture Search: its origins, important paradigms and the future of NAS in the age of LLMs. If you're looking for a broad overview of NAS, this is the podcast for you!

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Recent Guests

Colin White
Head of research at Abacus AI, a cloud AI platform.
Abacus AI
Episode: Neural Architecture Search: Insights from 1000 Papers
Sebastian Pineda
PhD candidate at the University of Freiburg, working on AutoML and meta-learning
University of Freiburg
Episode: Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Matthew Jackson
PhD student at Oxford
University of Oxford
Episode: Discovering Temporally-Aware Reinforcement Learning Algorithms
Chris Lu
PhD student at Oxford
University of Oxford
Episode: Discovering Temporally-Aware Reinforcement Learning Algorithms
Rahul Sharma
Masters in Computer Science student and research assistant at the German Research Center for Artificial Intelligence
German Research Center for Artificial Intelligence
Episode: X Hacking: The Threat of Misguided AutoML
David Selby
Senior Researcher at the German Research Center for Artificial Intelligence with a background in statistics and epidemiology
German Research Center for Artificial Intelligence
Episode: X Hacking: The Threat of Misguided AutoML

Host

Theresa Eimer
Co-host of the show, sharing her journey in AutoML and reinforcement learning, with a background in biochemistry and computer science.

Reviews

5.0 out of 5 stars from 24 ratings
  • Excellent niche technical content

    Host does a good job of researching and getting people to open up

    Apple Podcasts
    5
    SharmaEd
    United States3 years ago

Listeners Say

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The host effectively researches and encourages guests to share detailed insights.
Insightful discussions about niche technical topics.

Chart Rankings

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Apple Podcasts
#132
Poland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Leverage Foundational Models for Black-Box Optimization
Q: How would someone wanting to use an AutoML mechanism see black-box optimization in ten years?
In ten years, regression methods will allow handling any data format, while models will be able to provide better planning and decision-making capabilities.
Leverage Foundational Models for Black-Box Optimization
Q: Do you think there's a stable enough model available in the last one or two years?
There's no dedicated language model specifically for doing AutoML, making the consumer-based LLMs like Gemini and ChatGPT less effective for optimization tasks.
Neural Architecture Search: Insights from 1000 Papers
Q: What methods are commonly used for performance prediction in NAS?
Several methods including partial training, surrogate-based models, and zero-cost proxies are employed for effective performance estimations.
Neural Architecture Search: Insights from 1000 Papers
Q: How did the idea for Insights from a Thousand Papers on Neural Architecture Search come about?
It originated from a earlier survey paper that highlighted the growth in NAS literature, prompting a need for a comprehensive review.
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Q: What are the core concepts utilized in QuickTune?
The core concepts are gray box optimization, cost awareness, and meta-learning, which help in making informed decisions quickly during the model selection process.

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Frequently Asked Questions About The AutoML Podcast

What is The AutoML Podcast about and what kind of topics does it cover?

Focusing on the science and engineering of Automated Machine Learning (AutoML), engaging discussions are hosted with experts sharing insights, research findings, and practical applications related to machine learning. Each episode unravels complex topics such as neural architecture search, model optimization, and the implications of AutoML misuse in research, providing nuanced perspectives from industry practitioners and academia alike. The show seeks to bridge the gap between technical intricacies and user-friendly approaches to implementing machine learning, making it particularly valuable for listeners engaged in technology and research fields.

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Which podcasts are similar to The AutoML Podcast?

These podcasts share a similar audience with The AutoML Podcast:

1. The Ezra Klein Show
2. LANZ & PRECHT

How many episodes of The AutoML Podcast are there?

The AutoML Podcast launched 4 years ago and published 43 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The AutoML Podcast?

Recent guests on The AutoML Podcast include:

1. Colin White
2. Sebastian Pineda
3. Matthew Jackson
4. Chris Lu
5. Rahul Sharma
6. David Selby

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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