Frontiers Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference
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Deploying deep learning networks based advanced techniques for image processing on FPGA platform
Frontiers ACE-SNN: Algorithm-Hardware Co-design of Energy-Efficient & Low- Latency Deep Spiking Neural Networks for 3D Image Recognition
Frontiers Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference
Frontiers Quantization Framework for Fast Spiking Neural Networks
Enabling Power-Efficient AI Through Quantization
A2Q+: Improving Accumulator-Aware Weight Quantization
2006.10159] Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
Frontiers Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference
Loss of ResNet-18 quantized with different quantization steps. The
Enabling Power-Efficient AI Through Quantization
2006.10159] Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
Frontiers in Artificial Intelligence Big Data and AI in High Energy Physics
Pruning and quantization for deep neural network acceleration: A survey - ScienceDirect
Quantization Framework for Fast Spiking Neural Networks. - Abstract - Europe PMC