Abstract: The rapid growth in the size of deep learning models strains the capabilities of dense computation paradigms. Leveraging sparse computation has become increasingly popular for training and ...

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Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...

The US Food and Drug Administration (FDA) announced the launch of a new framework to expedite therapies for ultra-rare diseases. The program will focus on targeted, individualized treatments for ...

Abstract: Federated learning (FL), a paradigm of distributed machine learning, aims to utilize user data for model training while safeguarding data privacy. However, numerous challenges arise in ...

Easy access to all ENTSO-E Transparency Platform API endpoints Well-documented, easy to use and highly consistent with the API Automatically splits up large requests into multiple smaller calls to the ...