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RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models
Deploying deep learning models on edge CPUs is bottlenecked by computational and memory constraints. Mixed-precision quantization promises to reduce inference latency while preserving accuracy. However, quantization affects different layer types in inconsistent ways, so identifying where accuracy lo
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