• Corpus ID: 245986698

Parallel Neural Local Lossless Compression

  title={Parallel Neural Local Lossless Compression},
  author={Mingtian Zhang and James Townsend and Ning Kang and David Barber},
The recently proposed Neural Local Lossless Compression (NeLLoC) [27], which is based on a local autoregressive model, has achieved state-of-the-art (SOTA) out-of-distribution (OOD) generalization performance in the image compression task. In addition to the encouragement of OOD generalization, the local model also allows parallel inference in the decoding stage. In this paper, we propose two parallelization schemes for local autoregressive models. We discuss the practicali-ties of implementing… 

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