Abstract: The application of dual classifiers in adversarial learning significantly improves the convergence of cross-domain distributions. Traditional methods, however, largely focus on maintaining ...
My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
Planners today struggle to properly apply operational art in large scale war — and they don’t fully realize why. It takes something like firsthand experience in a strategic level wargame against a ...
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select a limited subset of ...
Abstract: The joint optimization of the hybrid transmit precoders (HTPCs) and reflective elements of a millimeter wave (mmWave) integrated sensing and communication (ISAC) system is considered. The ...
As an adaptive method, Shampoo employs a structured second-moment estimation, and its effectiveness has attracted growing attention. Prior work has primarily analyzed its estimation scheme through the ...
The National Guard shooting in Washington earlier this week brought the Biden-era “Operation Allies Welcome” back into the spotlight as an Afghan national faces a first-degree murder charge following ...
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