AutoML Conference (2023)

Various Lecturers


The international conference on automated machine learning (AutoML) is the premier gathering of professionals focussed on the progressive automation of machine learning (ML), aiming to develop automated methods for making ML methods more efficient, robust, trustworthy, and available to everyone. A special focus of the AutoML conference lies on openness: via sharing of code, we hope to facilitate a culture of open collaborations across academic and industrial partners.

Industry Keynotes

Bayesian Optimization for Second-Life Batteries

Date: September 12, 2023
Language: English
Duration: 00:21:20

AutoML in Practice: Requirements, Solutions, Software & Lessons

Date: September 12, 2023
Language: English
Duration: 00:25:21

Open Foundation Models: Reproducible Science of Transferable Learning

Date: September 12, 2023
Language: English
Duration: 00:37:50

From AutoML to AutoDS

Date: September 12, 2023
Language: English
Duration: 00:28:36

Feature Selection and Knowledge Discovery in AutoML and Automated Causal Discovery

Date: September 12, 2023
Language: English
Duration: 00:34:23

Industry Day Tutorials

Tutorial: Open Source Vizier

Date: September 12, 2023
Language: English
Duration: 01:28:03

AutoGluon v1.0: Shattering the AutoML Ceiling with Zero Lines of Code

Date: September 12, 2023
Language: English
Duration: 02:00:59

Industry Day Talks

Hardware-aware Neural Architecture Search at Bosch

Date: September 12, 2023
Language: English
Duration: 00:39:29

AutoML meets Multiobjective Optimization

Date: September 12, 2023
Language: English
Duration: 00:31:27

Some Applications of Bayesian Optimisation in Industry

Date: September 12, 2023
Language: English
Duration: 00:32:35

Gen AI Meets AutoML

Date: September 12, 2023
Language: English
Duration: 00:37:11

The Future of AutoML

Date: September 12, 2023
Language: English
Duration: 00:29:08

Industry Day Panel

Bridging the Gap Between AutoML Academia & Industry

Date: September 12, 2023
Language: English
Duration: 00:49:41

Opening

Opening & Welcome

Date: September 13, 2023
Language: English
Duration: 00:42:50

Keynote

A Reality-centric Perspective on AutoML: AutoML's Unique Challenges in Healthcare …and beyond

Date: September 13, 2023
Language: English
Duration: 01:05:23

Tutorials

Comparing Apples with Apples: Tools for Benchmarking of Hyperparameter Optimization Methods

Date: September 13, 2023
Language: English
Duration: 01:28:25

Hands-on Tutorial on the LLM-based Auto-Survey Competition

Date: September 13, 2023
Language: English
Duration: 01:23:08

A Tutorial on Meta-Reinforcement Learning

Date: September 13, 2023
Language: English
Duration: 01:33:40

Meta-Learning for Hyperparameter Optimization

Date: September 13, 2023
Language: English
Duration: 01:27:14

Language Modelling for Optimization

Date: September 13, 2023
Language: English
Duration: 01:24:48

A Survey of Methods for Automated Algorithm Configuration

Date: September 13, 2023
Language: English
Duration: 01:27:56

Best Paper Talks

Exploiting Network Compressibility and Topology in Zero-Cost NAS

Date: September 13, 2023
Language: English
Duration: 00:16:26

Better Practices for Domain Adaptation

Date: September 13, 2023
Language: English
Duration: 00:14:27

Keynotes

Beyond Loss: Efficient Optimization of Living Machine Learning Systems

Date: September 14, 2023
Language: English
Duration: 00:53:30

AutoML-Zero to One: Discovering Machine Learning from Simple Primitives

Date: September 14, 2023
Language: English
Duration: 01:01:21

Panel Discussion

AutoML and LLMs

Date: September 14, 2023
Language: English
Duration: 00:45:02

Keynotes

Recommending Learners

Date: September 15, 2023
Language: English
Duration: 01:06:27

Transferable Neural Architecture Search with Diffusion Models for the Real World

Date: September 15, 2023
Language: English
Duration: 00:53:42

Panel Discussion

Automated Data Science

Date: September 15, 2023
Language: English
Duration: 00:44:11

Competition Reports

Closing

Closing

Date: September 15, 2023
Language: English
Duration: 00:24:02
Closing 00:24:02