Three incremental VQ techniques using cosine similarity and NAS for neural net weight compression yield design insights without consistent accuracy gains over existing approaches.
CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools
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Efficient VQ-QAT and Mixed Vector/Linear quantized Neural Networks
Three incremental VQ techniques using cosine similarity and NAS for neural net weight compression yield design insights without consistent accuracy gains over existing approaches.