Hurtado, Julio

11 publications

TMLR 2026 \textsc{PGO-BEN}: Proxy-Guided Orthogonalization and Beta Ensembling for Few-Shot Domain-Incremental Learning Samrat Mukherjee, Thivyanth Venkateswaran, Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco, Gemma Roig, Subhasis Chaudhuri, Biplab Banerjee

CVPR 2025 Data Distributional Properties as Inductive Bias for Systematic Generalization Felipe del Rio, Alain Raymond-Saez, Daniel Florea, Rodrigo Toro Icarte, Julio Hurtado, Cristian B. Calderon, Alvaro Soto

NeurIPSW 2024 Adaptive LoRA Merging for Efficient Domain Incremental Learning Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco

NeurIPSW 2024 Adaptive LoRA Merging for Efficient Domain Incremental Learning Luigi Quarantiello, Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco

ICCVW 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

CoLLAs 2023 Class-Incremental Learning with Repetition Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth

ICCVW 2023 Memory Population in Continual Learning via Outlier Elimination Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu

CVPR 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

ICMLW 2023 Studying Generalization on Memory-Based Methods in Continual Learning Felipe del Rio, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto, Vincenzo Lomonaco

CVPRW 2022 Entropy-Based Stability-Plasticity for Lifelong Learning Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens

NeurIPS 2021 Optimizing Reusable Knowledge for Continual Learning via Metalearning Julio Hurtado, Alain Raymond, Alvaro Soto