2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
ICLR 2021poster
Neural data compression has been shown to outperform classical methods in terms of $RD$ performance, with results still improving rapidly. At a high level, neural compression is based on an autoencoder that tries to reconstruct the input instance from a (quantized) latent representation, coupled wit…