Faster and Stronger Lossless Compression with Optimized Autoregressive Framework-Reference-Cited by-同舟云学术

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Faster and Stronger Lossless Compression with Optimized Autoregressive Framework

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
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Author:

Mao Yu¹,Li Jingzong¹,Cui Yufei²,Xue Jason Chun¹

Affiliation:

1. City University of Hong Kong,Department of Computer Science

2. McGill University,School of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247866.pdf?arnumber=10247866

Reference20 articles.

1. Nncp: Lossless data compression with neural networks;bellard,2019

2. Tensorflow-compress;knoll,2016

3. Pytorch: An imperative style, high-performance deep learning library;paszke;NIPS,2019

4. Osoa: One-shot online adaptation of deep generative models for lossless compression;zhang;NIPS,2021

5. Silesia dataset;deorowicz,1985

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