Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
Zero and data reuse-aware fast convolution for deep neural networks on GPU
Dynamic Channel Pruning: Feature Boosting and Suppression
INXS: Bridging the throughput and energy gap for spiking neural networks
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How