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prehumast t1_isfn0ne wrote

First thing I thought of.

Additionally, one of the "issues" with ML compression schemes is that inherently the models are biased towards their training data. So we can see modest compression gains on sub classes, but generalizing to any image is not as straightforward... At least guarantees aren't.

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seiqooq t1_isgqd96 wrote

In fairness, this is not unique to ML. Compression algorithms (among others) can be loaded with parameters that were optimized against sets of data as well.

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prehumast t1_isgwuxq wrote

True... I humbly accept the rebuke. 🙃

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