Julio Hurtado

According to our database, Julio Hurtado authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Adaptive Hyperparameter Optimization for Continual Learning Scenarios.

Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu

CoRR, 2024

2023

Continual learning for predictive maintenance: Overview and challenges.

Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco

Intell. Syst. Appl., September, 2023

In-context Interference in Chat-based Large Language Models.

Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco

CoRR, 2023

Studying Generalization on Memory-Based Methods in Continual Learning.

Felipe del Río, Julio Hurtado, Cristian Buc, Alvaro Soto, Vincenzo Lomonaco

CoRR, 2023

A Comprehensive Empirical Evaluation on Online Continual Learning.

Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory Population in Continual Learning via Outlier Elimination.

Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PIVOT: Prompting for Video Continual Learning.

Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Incremental Learning with Repetition.

Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

A Study on the Predictability of Sample Learning Consistency.

Alain Raymond-Saez, Julio Hurtado, Alvaro Soto

CoRR, 2022

It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning.

Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu

CoRR, 2022

How Relevant is Selective Memory Population in Lifelong Language Learning?

Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Entropy-based Stability-Plasticity for Lifelong Learning.

Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Sequoia: A Software Framework to Unify Continual Learning Research.

Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia

CoRR, 2021

Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning.

Julio Hurtado, Hans Lobel, Alvaro Soto

IEEE Access, 2021

Optimizing Reusable Knowledge for Continual Learning via Metalearning.

Julio Hurtado, Alain Raymond-Saez, Alvaro Soto

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Claim Behavior over Time in Twitter.

Fernanda Weiss, Ignacio Espinoza, Julio Hurtado, Marcelo Mendoza

Proceedings of the Social Computing and Social Media. Design, Human Behavior and Analytics, 2019

2017

Design and Implementation of an Energy Monitoring System for Buildings Based on Internet of Things Architecture.

Edgar Villa, Julio Hurtado, José Luis Villa

Proceedings of the Applied Computer Sciences in Engineering, 2017

2016

Boosting SpLSA for Text Classification.

Julio Hurtado, Marcelo Mendoza, Ricardo Ñanculef

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016