Well-tuned Simple Nets Excel on Tabular Datasets. - Arlind Kadra; Marius Lindauer; Frank Hutter; Josif Grabocka (NeurIPS, 2021)

Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data. - Arlind Kadra; Marius Lindauer; Frank Hutter; Josif Grabocka (CoRR, 2021)

OpenML-Python: an extensible Python API for OpenML. - Matthias Feurer; Jan N. van Rijn; Arlind Kadra; Pieter Gijsbers; Neeratyoy Mallik; Sahithya Ravi; Andreas Müller 004; Joaquin Vanschoren; Frank Hutter (J. Mach. Learn. Res., 2021)

Supervising the Multi-Fidelity Race of Hyperparameter Configurations. - Martin Wistuba; Arlind Kadra; Josif Grabocka (NeurIPS, 2022)

Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning. - Martin Wistuba; Arlind Kadra; Josif Grabocka (CoRR, 2022)

Scaling Laws for Hyperparameter Optimization. - Arlind Kadra; Maciej Janowski; Martin Wistuba; Josif Grabocka (NeurIPS, 2023)

Deep Power Laws for Hyperparameter Optimization. - Arlind Kadra; Maciej Janowski; Martin Wistuba; Josif Grabocka (CoRR, 2023)

Breaking the Paradox of Explainable Deep Learning. - Arlind Kadra; Sebastian Pineda-Arango; Josif Grabocka (CoRR, 2023)

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. - Sebastian Pineda-Arango; Fabio Ferreira; Arlind Kadra; Frank Hutter; Josif Grabocka (ICLR, 2024)

Interpretable Mesomorphic Networks for Tabular Data. - Arlind Kadra; Sebastian Pineda-Arango; Josif Grabocka (NeurIPS, 2024)

Tabular Data: Is Attention All You Need? - Guri Zabërgja; Arlind Kadra; Josif Grabocka (CoRR, 2024)