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eess.SP2024
NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication
Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan +2
Modulation classification is a very challenging task since the signals intertwine with various ambient noises. Methods are required that can classify them without adding extra step…
cs.LG2024
Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
Mohammad Rostami, Atik Faysal, Huaxia Wang +1
Overfitting is a significant challenge in Few-Shot Learning (FSL), where models trained on small, variable datasets tend to memorize rather than generalize to unseen tasks. Regular…