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PhD Student

Fabio Ferreira

Postal address
Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany
Fax
+49 761 203-74217
Office
Building 74, Room 00-014
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About

In 2020 I joined the Machine Learning Lab as a PhD student under the supervision of Frank Hutter. Before that I joined the Stanford AI Lab for my master’s thesis to work in Jeannette Bohg’s IPRL group on robotic manipulation. As a student research assistant, I also worked at Tamim Asfour’s H2T Lab with focus on robot perception. I hold a M. Sc. from KIT in CS/Machine Learning and am alumnus of the German National Academic Scholarship Foundation.

Research Interests

  • Meta-Learning
  • Self-supervised Learning
  • Transfer Learning

Student Supervision

Getting in touch

If you are a very good student and interested in working with me on the above mentioned research interests, please feel free to reach out via email. In order to assess a good fit, please answer the questions listed on this webpage. Also, if you have any nice material such as code, figures, paper summaries, work results or a paper in which you had major contributions in please attach them to your email.

Current project offerings:

Former project offerings

Publications

2024

Ferreira, Fabio; Schlageter, Moreno; Rajan, Raghu; Biedenkapp, André; Hutter, Frank

One-shot World Models Using a Transformer Trained on a Synthetic Prior Inproceedings

In: NeurIPS 2024 Workshop on Open-World Agents, 2024.

Rapant, Ivo; Purucker, Lennart; Ferreira, Fabio; Arango, Sebastian Pineda; Kadra, Arlind; Grabocka, Josif; Hutter, Frank

Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Inproceedings

In: The Twelfth International Conference on Learning Representations (ICLR), 2024, (Oral Presentation).

2023

Ferreira, Fabio; Rapant, Ivo; Hutter, Frank

Hard View Selection for Contrastive Learning Conference Forthcoming

Forthcoming.

Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Journal Article

In: Journal of Artificial Intelligence Research (JAIR), vol. 77, pp. 821-890, 2023.

Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Conference Forthcoming

Forthcoming.

2022

Wagner, Diane; Ferreira, Fabio; Stoll, Danny; Schirrmeister, Robin Tibor; Müller, Samuel; Hutter, Frank

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Workshop

ICML Pre-training Workshop, 2022.

Öztürk*, Ekrem; Ferreira*, Fabio; Jomaa*, Hadi S.; Schmidt-Thieme, Lars; Grabocka, Josif; Hutter, Frank

Zero-shot AutoML with Pretrained Models Inproceedings

In: International Conference on Machine Learning (ICML), 2022.

Ferreira, Fabio; Nierhoff, Thomas; Sälinger, Andreas; Hutter, Frank

Learning Synthetic Environments and Reward Networks for Reinforcement Learning Inproceedings

In: 10th International Conference on Learning Representations (ICLR), OpenReview.net, 2022.

2021

Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank

MDP Playground: A Design and Debug Testbed for Reinforcement Learning Inproceedings

In: arXiv:1909.07750, 2021.

Ferreira, Fabio; Nierhoff, Thomas; Hutter, Frank

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies Journal Article

In: AAAI workshop on Meta-Learning Challenges, 2021.

2020

Liu, Zhengying; Pavao, Adrien; Xu, Zhen; Escalera, Sergio; Ferreira, Fabio; Guyon, Isabelle; Hong, Sirui; Hutter, Frank; Ji, Rongrong; Junior, Julio C S Jacques; Li, Ge; Lindauer, Marius; Luo, Zhipeng; Madadi, Meysam; Nierhoff, Thomas; Niu, Kangning; Pan, Chunguang; Stoll, Danny; Treguer, Sebastien; Wang, Jin; Wang, Peng; Wu, Chenglin; Xiong, Youcheng; Zela, Arber; Zhang, Yang

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019 Journal Article

In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3108-3125, 2020.