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Found 2 papers, 1 papers with code
A Multi-task Learning Framework for Product Ranking with BERT
The proposed model utilizes domain-specific BERT with fine-tuning to bridge the vocabulary gap and employs multi-task learning to optimize multiple objectives simultaneously, which yields a general end-to-end learning framework for product search.
Variational Deep Semantic Hashing for Text Documents
Especially, deep generative models naturally combine the expressiveness of probabilistic generative models with the high capacity of deep neural networks, which is very suitable for text modeling.
Ranked #1 on
Supervised Text Retrieval
on Reuters-21578
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