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Deep learning

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Meta-learning to address diverse Earth observation problems across resolutions

Investigating neural resource allocation in the sensorimotor control of extra limbs

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Robust NAS under adversarial training: benchmark, theory, and beyond

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Hydrogen-induced tunable remanent polarization in a perovskite nickelate

Optimizing Dynamic Aperture Studies with Active Learning

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs