Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML

1 July 2023

Papers citing "Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML"

5 / 5 papers shown

Title
Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka 73 0 0 25 Oct 2024
Regularized Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 95 0 0 06 Oct 2024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 100 13 0 06 Nov 2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel B. Bischl Holger Hoos 86 4 0 17 Jul 2023
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure Lennart Purucker Joeran Beel 46 8 0 01 Jul 2023