AutoML 2024 Journal Track Submissions

AMLB: an AutoML Benchmark
Pieter Gijsbers, Marcos L P Bueno, Stefan Coors, Erin LeDell, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
- Published: 10 Jul 2024, Last Modified: 29 Aug 2024
- AutoML 2024 Journal Track
- Readers: Everyone
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde Jacoba Petronella Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
- Published: 10 Jul 2024, Last Modified: 29 Aug 2024
- AutoML 2024 Journal Track
- Readers: Everyone
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
- Published: 10 Jul 2024, Last Modified: 29 Aug 2024
- AutoML 2024 Journal Track
- Readers: Everyone
Controlling Federated Learning for Covertness
Adit Jain, Vikram Krishnamurthy
- Published: 10 Jul 2024, Last Modified: 29 Aug 2024
- AutoML 2024 Journal Track
- Readers: Everyone