Ferreira, Fabio

8 publications

ICLR 2025 Beyond Random Augmentations: Pretraining with Hard Views Fabio Ferreira, Ivo Rapant, Jörg K.H. Franke, Frank Hutter
NeurIPSW 2024 One-Shot World Models Using a Transformer Trained on a Synthetic Prior Fabio Ferreira, Moreno Schlageter, Raghu Rajan, André Biedenkapp, Frank Hutter
ICLR 2024 Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
NeurIPSW 2024 Transfer Learning for Finetuning Large Language Models Tobias Strangmann, Lennart Purucker, Jörg K.H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter
JAIR 2023 MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter
ICLR 2022 Learning Synthetic Environments and Reward Networks for Reinforcement Learning Fabio Ferreira, Thomas Nierhoff, Andreas Sälinger, Frank Hutter
ICMLW 2022 On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter
ICML 2022 Zero-Shot AutoML with Pretrained Models Ekrem Öztürk, Fabio Ferreira, Hadi Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter