Prazo para submissão: 15 June 2025
Data de Notificação: 01/04/2025
Editora: Elsevier
Revista: Pattern Recognition
Link: https://www.sciencedirect.com/special-issue/316469/beneficial-noise-learning
Detalhes:
Noise is an emerging and popular keyword in recent years. The noise-based models have attracted more and more attention in the pattern recognition community, including but not limited to random forest, dropout in neural networks (a kind of structural beneficial noise), generative adversarial networks, adversarial training, noisy augmentation, noisy label, positive-incentive noise, diffusion models, and flow matching models. Although most of these models don’t explicitly claim that they aim to le