Supervised Text Retrieval
2 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Supervised Text Retrieval
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Reuters-21578
Most implemented papers
Variational Deep Semantic Hashing for Text Documents
unsuthee/VariationalDeepSemanticHashing
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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.
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
This paper investigates the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use.
