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Found 3 papers, 1 papers with code
Learning a Product Relevance Model from Click-Through Data in E-Commerce
We propose a novel way to consider samples of different relevance confidence, and come up with a new training objective to learn a robust relevance model with desirable score distribution.
Multimodal Transformer for Multimodal Machine Translation
Multimodal Machine Translation (MMT) aims to introduce information from other modality, generally static images, to improve the translation quality.
Ranked #6 on
Multimodal Machine Translation
on Multi30K
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
The graph-to-sequence (Graph2Seq) learning aims to transduce graph-structured representations to word sequences for text generation.
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