Meta-learned neural encoders and decoders for compressive learning aim to make parameter estimation from compact database sketches faster and more accurate than randomized, data-independent compressive learning.
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Compressive Meta-Learning
Meta-learned neural encoders and decoders for compressive learning aim to make parameter estimation from compact database sketches faster and more accurate than randomized, data-independent compressive learning.