Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Rethinking floating point for deep learning
Experiences Using the RISC-V Ecosystem to Design an Accelerator-Centric SoC in TSMC 16 nm
An Algorithm for Learning Shape and Appearance Models without Annotations
Loss-aware Weight Quantization of Deep Networks
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks