Abstract: Taking into account depthwise separable convolutions (DSCs) in MobileNets leads to a deep architecture having a low memory footprint and effective complexity. Such learned models still lack ...
Abstract: Semantic retrieval task aims to identify documents in a retrieval corpus that are semantically related to a query. Existing methods rely heavily on large-scale annotated training data, which ...
A hybrid quantum-classical implementation of Variational Quantum Linear Solvers for solving systems of linear equations on quantum computers, with applications to Computational Fluid Dynamics (CFD).
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