Search Results for author: Pietro Buzzega

Found 6 papers, 5 papers with code

Continual Semi-Supervised Learning through Contrastive Interpolation Consistency

1 code implementation14 Aug 2021 Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

This work explores Continual Semi-Supervised Learning (CSSL): here, only a small fraction of labeled input examples are shown to the learner.

Continual Learning Metric Learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

2 code implementations12 Oct 2020 Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara

In Continual Learning, a Neural Network is trained on a stream of data whose distribution shifts over time.

Continual Learning

The color out of space: learning self-supervised representations for Earth Observation imagery

1 code implementation22 Jun 2020 Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara

We conduct experiments on land cover classification (BigEarthNet) and West Nile Virus detection, showing that colorization is a solid pretext task for training a feature extractor.

Colorization Disease Prediction +3

Dark Experience for General Continual Learning: a Strong, Simple Baseline

2 code implementations NeurIPS 2020 Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

Continual Learning has inspired a plethora of approaches and evaluation settings; however, the majority of them overlooks the properties of a practical scenario, where the data stream cannot be shaped as a sequence of tasks and offline training is not viable.

Continual Learning Knowledge Distillation

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