Continual Learning requires the model to learn from a stream of dynamic, non-stationary data without forgetting previous knowledge. Several approaches have been developed in the literature to tackle the Continual Learning challenge. Among them, Replay approaches have empirically proved to be the most effective ones [16]. Replay operates by saving some samples in memory which are then used to rehearse knowledge during training in subsequent tasks. However, an extensive comparison and deeper understanding of different replay implementation subtleties is still missing in the literature. The aim of this work is to compare and analyze existing replay-based strategies and provide practical recommendations on developing efficient, effective and generally applicable replay-based strategies. In particular, we investigate the role of the memory size value, different weighting policies and discuss about the impact of data augmentation, which allows reaching better performance with lower memory sizes.
@inproceedings{merlinpractical,author={Merlin, Gabriele and Lomonaco, Vincenzo and Cossu, Andrea and Carta, Antonio and Bacciu, Davide},editor={Mazzeo, Pier Luigi and Frontoni, Emanuele and Sclaroff, Stan and Distante, Cosimo},title={Practical Recommendations for Replay-Based Continual Learning Methods},booktitle={Image Analysis and Processing. ICIAP 2022 Workshops},year={2022},publisher={Springer International Publishing},address={Cham},pages={548--559},isbn={978-3-031-13324-4},}
In this poster, we present a visualization tool for the in-depth analysis of domestic electricity consumption. The web-interface allows users to visualize their electricity consumption, compare them with their own records or with the means of selected communities
@inproceedings{merlindesign,booktitle={Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},editor={Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero},title={{Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption}},author={Merlin, Gabriele and Ortu, Daniele and Cherchi, Gianmarco and Scateni, Riccardo},year={2019},publisher={The Eurographics Association},issn={2617-4855},isbn={978-3-03868-100-7},doi={10.2312/stag.20191368},}