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This kind of stuff is interesting, and I think you're on the right track (simply based on intuition, not really informed on this at all). I'm interested in compressing models for performance on lower computational power devices. Like Google's Learn2Compress (https://ai.googleblog.com/2018/05/custom-on-device-ml-models...)


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