WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization

29 Feb 2020Ahmed T. ElthakebPrannoy PilligundlaFatemehsadat MireshghallahTarek ElgindiCharles-Alban DeledalleHadi Esmaeilzadeh

As deep neural networks make their ways into different domains, their compute efficiency is becoming a first-order constraint. Deep quantization, which reduces the bitwidth of the operations (below 8 bits), offers a unique opportunity as it can reduce both the storage and compute requirements of the network super-linearly... (read more)

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