Fabio Ferreira

32 papers A* 4A 1C 1Misc 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch. CoRR Fabio Ferreira, Lucca Wobbe, Arjun Krishnakumar, Frank Hutter, Arber Zela
2025	A*	`conf`	Beyond Random Augmentations: Pretraining with Hard Views. ICLR Fabio Ferreira, Ivo Rapant, Jörg K. H. Franke, Frank Hutter
2025	J	`jnl`	Detection of code smells in react with TypeScript applications. Inf. Softw. Technol. Maykon Nunes, Carla I. M. Bezerra, Fabio Ferreira, Bruno Gois Mateus, Marco Túlio Valente
2025	J	`jnl`	Improving LLM-based Global Optimization with Search Space Partitioning. CoRR Andrej Schwanke, Lyubomir Ivanov, David Salinas, Fabio Ferreira, Aaron Klein, Frank Hutter, Arber Zela
2025	J	`jnl`	Meta-Learning and Synthetic Data for Automated Pretraining and Finetuning. CoRR Fabio Ferreira
2025	—	`—`	Meta-learning and synthetic data for automated pretraining and finetuning. Fabio Ferreira
2024	J	`jnl`	One-shot World Models Using a Transformer Trained on a Synthetic Prior. CoRR Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter
2024	A*	`conf`	Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. ICLR Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
2024	J	`jnl`	Refactoring react-based Web apps. J. Syst. Softw. Fabio Ferreira, Hudson Silva Borges, Marco Túlio Valente
2024	J	`jnl`	Transfer Learning for Finetuning Large Language Models. CoRR Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter
2023	J	`jnl`	Detecting code smells in React-based Web apps. Inf. Softw. Technol. Fabio Ferreira, Marco Túlio Valente
2023	J	`jnl`	Hard View Selection for Contrastive Learning. CoRR Fabio Ferreira, Ivo Rapant, Frank Hutter
2023	J	`jnl`	MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. J. Artif. Intell. Res. Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter
2023	J	`jnl`	Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. CoRR Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
2022	A*	`conf`	Learning Synthetic Environments and Reward Networks for Reinforcement Learning. ICLR Fabio Ferreira, Thomas Nierhoff, Andreas Sälinger, Frank Hutter
2022	J	`jnl`	Learning Synthetic Environments and Reward Networks for Reinforcement Learning. CoRR Fabio Ferreira, Thomas Nierhoff, Andreas Saelinger, Frank Hutter
2022	J	`jnl`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR 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
2022	J	`jnl`	On the (un-)adoption of JavaScript front-end frameworks. Softw. Pract. Exp. Fabio Ferreira, Hudson Silva Borges, Marco Túlio Valente
2022	J	`jnl`	On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. CoRR Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter
2022	J	`jnl`	On the documentation of self-admitted technical debt in issues. Empir. Softw. Eng. Laerte Xavier, João Eduardo Montandon, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente
2022	J	`jnl`	Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR 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
2022	J	`jnl`	Zero-Shot AutoML with Pretrained Models. CoRR Ekrem Öztürk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter
2022	A*	`conf`	Zero-shot AutoML with Pretrained Models. ICML Ekrem Öztürk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter
2021	J	`jnl`	Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies. CoRR Fabio Ferreira, Thomas Nierhoff, Frank Hutter
2021	—	`conf`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 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
2021	Misc	`conf`	Software engineering meets deep learning: a mapping study. SAC Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente
2021	J	`jnl`	Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 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
2020	A	`conf`	Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. MSR Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente
2020	J	`jnl`	Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. CoRR Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente
2020	C	`conf`	GitHub Label Embeddings. SCAM João Paulo Diniz, Daniel Cruz, Fabio Ferreira, Cleiton Silva Tavares, Eduardo Figueiredo
2020	—	`conf`	Turnover in Open-Source Projects: The Case of Core Developers. SBES Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente
2019	J	`jnl`	Software Engineering Meets Deep Learning: A Literature Review. CoRR Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente