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Found 3 papers, 1 papers with code
Weighted Ensemble Self-Supervised Learning
Ensembling has proven to be a powerful technique for boosting model performance, uncertainty estimation, and robustness in supervised learning.
What Do We Mean by Generalization in Federated Learning?
Thus generalization studies in federated learning should separate performance gaps from unseen client data (out-of-sample gap) from performance gaps from unseen client distributions (participation gap).
Hunting for Dark Matter Subhalos in Strong Gravitational Lensing with Neural Networks
Dark matter substructures are interesting since they can reveal the properties of dark matter.
Cosmology and Nongalactic Astrophysics Computational Physics
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