ALOHA: an architectural-aware framework for deep learning at the edge
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Conv-RAM: An energy-efficient SRAM with embedded convolution computation for low-power CNN-based machine learning applications
Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Latency-driven design for FPGA-based convolutional neural networks