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Compression

Sample compression unleashed: New generalization bounds for real valued losses
The sample compression theory provides generalization guarantees for predictors that can be fully defined using a subset of the …
Sample compression unleashed: New generalization bounds for real valued losses
The sample compression theory provides generalization guarantees for predictors that can be fully defined using a subset of the …
RaVAEn: Unsupervised Change Detection of Extreme Events Using ML On-Board Satellites
Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data …
Online Learned Continual Compression with Adaptive Quantization Modules
We introduce and study the problem of Online Continual Compression, where one attempts to simultaneously learn to compress and store a …