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Found 6 papers, 5 papers with code
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
Nowadays, Vector-Borne Diseases (VBDs) raise a severe threat for public health, accounting for a considerable amount of human illnesses.
Dark Experience for General Continual Learning: a Strong, Simple Baseline
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.
Ranked #12 on
Continual Learning
on ASC (19 tasks)
The color out of space: learning self-supervised representations for Earth Observation imagery
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.
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
In Continual Learning, a Neural Network is trained on a stream of data whose distribution shifts over time.
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
This work explores Continual Semi-Supervised Learning (CSSL): here, only a small fraction of labeled input examples are shown to the learner.
Class-Incremental Continual Learning into the eXtended DER-verse
The staple of human intelligence is the capability of acquiring knowledge in a continuous fashion.
