Embedding Compression with Isotropic Iterative Quantization

national conference on artificial intelligence, 2020.

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Abstract:

Continuous representation of words is a standard component in deep learning-based NLP models. However, representing a large vocabulary requires significant memory, which can cause problems, particularly on resource-constrained platforms. Therefore, in this paper we propose an isotropic iterative quantization (IIQ) approach for compressi...More

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