Supervised Text Retrieval

2 papers with code • 2 benchmarks • 3 datasets

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Most implemented papers

Variational Deep Semantic Hashing for Text Documents

unsuthee/VariationalDeepSemanticHashing 11 Aug 2017

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

amacaluso/SSB-VAE 17 Jul 2020

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.