Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
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Abstract: Image edges are essential for understanding and processing the content of the acquired scene, but a clear edge detection is not always possible. Unfavorable environmental conditions, poor ...
Abstract: In conventional Unsupervised domain adaptation (UDA), model knowledge is transferred to the target domain with access to annotated source data, which is an unsuitable strategy for ...
GAPrune is a novel pruning framework for domain-specific pruning of embedding models. It preserves both general linguistic foundations and domain-specific ...
Multiple learning rate comparisons (0.01, 0.05, 0.1, 0.5, 1.0) Activation function analysis Training vs testing accuracy evaluation Regularization techniques (L2) ...