A tiny-memory CNN generates part of its weights from a cellular automaton and uses multiplexer-based quantized residual links, reporting up to 1% higher accuracy than two compressed baselines at sub-2Mb sizes.
Xception: Deep learning with depthwise separable convo- lutions,
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MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
A tiny-memory CNN generates part of its weights from a cellular automaton and uses multiplexer-based quantized residual links, reporting up to 1% higher accuracy than two compressed baselines at sub-2Mb sizes.