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Found 3 papers, 3 papers with code
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
Nevertheless, most existing VLP approaches have not fully utilized the intrinsic knowledge within the image-text pairs, which limits the effectiveness of the learned alignments and further restricts the performance of their models.
Semi-Autoregressive Neural Machine Translation
Existing approaches to neural machine translation are typically autoregressive models.
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
The first is that they heavily rely on manually designed bigram feature, i. e. they are not good at capturing n-gram features automatically.
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