Lossy compressive text autoencoders learn a residual downscaling/upscaling architecture with a residual low-dimension discrete bottleneck.
Read the original at arxiv.org→arXiv:2610.10738v1 Announce Type: new Abstract: Our work explores learning a compressed latent representation of text, at the intersection of data compression and representation learning. We propose an autoencoder...
Original headline: "Lossy Compressive Text Autoencoders"
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- Oct 9, 04:00 UTC arXiv cs.CL lead source Lossy Compressive Text Autoencoders