Fast Lossless Neural Compression with Integer-Only Discrete Flows. (arXiv:2206.08869v1 [cs.LG])

Web: http://arxiv.org/abs/2206.08869

By applying entropy codecs with learned data distributions, neural
compressors have significantly outperformed traditional codecs in terms of
compression ratio. However, the high inference latency of neural networks
hinders the deployment of neural compressors in practical applications. In this
work, we propose Integer-only Discrete Flows (IODF), an efficient neural
compressor with integer-only arithmetic. Our work is built upon integer
discrete flows, which consists of invertible transformations between discrete
random variables. We propose efficient invertible transformations with
integer-only arithmetic based on …

arxiv compression lg neural neural compression