Fabio Ferreira

According to our database, Fabio Ferreira authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

J. Artif. Intell. Res., 2023

Detecting code smells in React-based Web apps.

Fabio Ferreira, Marco Túlio Valente

Inf. Softw. Technol., 2023

Hard View Selection for Contrastive Learning.

Fabio Ferreira, Ivo Rapant, Frank Hutter

CoRR, 2023

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

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

CoRR, 2023

2022

On the (un-)adoption of JavaScript front-end frameworks.

Fabio Ferreira, Hudson Silva Borges, Marco Túlio Valente

Softw. Pract. Exp., 2022

On the documentation of self-admitted technical debt in issues.

Laerte Xavier, João Eduardo Montandon, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente

Empir. Softw. Eng., 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

CoRR, 2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon

CoRR, 2022

Zero-shot AutoML with Pretrained Models.

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

Proceedings of the International Conference on Machine Learning, 2022

Learning Synthetic Environments and Reward Networks for Reinforcement Learning.

Fabio Ferreira, Thomas Nierhoff, Andreas Sälinger, Frank Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies.

Fabio Ferreira, Thomas Nierhoff, Frank Hutter

CoRR, 2021

Software engineering meets deep learning: a mapping study.

Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

GitHub Label Embeddings.

João Paulo Diniz, Daniel Cruz, Fabio Ferreira, Cleiton Silva Tavares, Eduardo Figueiredo

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

Turnover in Open-Source Projects: The Case of Core Developers.

Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente

Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems.

Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

2019

Software Engineering Meets Deep Learning: A Literature Review.

Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente

CoRR, 2019