Feb. 2, 2022, 3:26 p.m. | Synced

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A research team from the University of Oxford proposes COIN++, a neural compression framework that addresses the existing issues of COIN while maintaining its generality and can seamlessly handle a wide range of data modalities.


The post Oxford U Proposes COIN++, a Neural Compression Framework for Different Data Modalities first appeared on Synced.

ai artificial intelligence compression data framework machine learning machine learning & data science ml neural compression oxford research technology

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