Search Results for author: Nicolás Guil

Found 3 papers, 1 papers with code

Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs

no code implementations1 Aug 2018 Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez, Jesús Pérez-Serrano, Manuel Ujaldón

Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their challenging computational requirements.

Object Recognition

End-to-End Incremental Learning

5 code implementations ECCV 2018 Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari

Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from catastrophic forgetting, a dramatic decrease in overall performance when training with new classes added incrementally.

Image Classification Incremental Learning

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