254 citations · 322 across the 9 of their papers we have counts for
3 papers · 1 filter
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate, F. Scheidegger, G. Mariani +3
In recent years an increasing number of researchers and practitioners have been suggesting algorithms for large-scale neural network architecture search: genetic algorithms, reinfo…
Incremental Training of Deep Convolutional Neural Networks
Roxana Istrate, Adelmo Cristiano Innocenza Malossi, Costas Bekas +1
We propose an incremental training method that partitions the original network into sub-networks, which are then gradually incorporated in the running network during the training p…
BAGAN: Data Augmentation with Balancing GAN
Giovanni Mariani, Florian Scheidegger, Roxana Istrate +2
Image classification datasets are often imbalanced, characteristic that negatively affects the accuracy of deep-learning classifiers. In this work we propose balancing GAN (BAGAN)…