2 papers
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.LG2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning
Atik Faysal, Mohammad Rostami, Huaxia Wang +2
Few-shot learning or meta-learning leverages the data scarcity problem in machine learning. Traditionally, training data requires a multitude of samples and labeling for supervised…