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Found 5 papers, 4 papers with code
Where is the Truth? The Risk of Getting Confounded in a Continual World
A dataset is confounded if it is most easily solved via a spurious correlation which fails to generalize to new data.
BOWLL: A Deceptively Simple Open World Lifelong Learner
The quest to improve scalar performance numbers on predetermined benchmarks seems to be deeply engraved in deep learning.
Masked Autoencoders are Efficient Continual Federated Learners
In parts, federated learning lifts this assumption, as it sets out to solve the real-world challenge of collaboratively learning a shared model from data distributed across clients.
Predicting Soil Properties from Hyperspectral Satellite Images
The AI4EO HYPERVIEW challenge seeks machine learning methods that predict agriculturally relevant soil parameters (K, Mg, P2O5, pH) from airborne hyperspectral images.
Ranked #1 on
Seeing Beyond the Visible
on HYPERVIEW
JUWELS Booster -- A Supercomputer for Large-Scale AI Research
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J\"ulich Supercomputing Center.
