Self-Training: A Survey

no code implementations • 24 Feb 2022 • Massih-Reza Amini, Vasilii Feofanov, Loic Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov

Semi-supervised algorithms aim to learn prediction functions from a small set of labeled observations and a large set of unlabeled observations.

Image Classification Multi-class Classification +1

Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search

no code implementations • 17 May 2021 • Aleksandra Malkova, Loic Pauletto, Christophe Villien, Benoit Denis, Massih-Reza Amini

In this paper, we present a Neural Network (NN) model based on Neural Architecture Search (NAS) and self-learning for received signal strength (RSS) map reconstruction out of sparse single-snapshot input measurements, in the case where data-augmentation by side deterministic simulations cannot be performed.

Data Augmentation Neural Architecture Search +1