Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...
In this paper, we present an approach to lexicon optimization for Chinese language modeling. The method is an iterative procedure consisting of two phases, namely lexicon generation and lexicon ...
Abstract: Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. However, existing truncation and divide-merge ...
Abstract: This paper outlines a systematic methodology based on the superposition principle to develop a unified model for a Triple Active Bridge (TAB) converter. The proposed model is valid for all ...
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