Papers with semantic hashing layer

1 papers
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data (D18-1)

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Challenge: InferLite is a lightweight version of InferSent that does not use recurrent layers and can generalize to multiple pre-trained word embeddings.
Approach: They propose a lightweight version of InferSent that does not use recurrent layers and operates on a collection of pre-trained word embeddings.
Outcome: The proposed model outperforms existing models that learn generic embeddings in an unsupervised setting, often requiring several days or weeks to train.

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