The Information Bottleneck: Why the Best Representations Forget Most of What They See
This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.
A neural network trained to classify images sees millions of pixels. A good representation keeps almost none of them. It keeps the shape of a cat, the texture of fur, the arrangement of ears, and throws away the exact shade of the background, the sensor noise, and the compression artefacts. This is…
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- 2026-10-26 05:02 · DEV Community — Machine Learning
The Information Bottleneck: Why the Best Representations Forget Most of What They See