Efficient Neural Network CompressionHyeji KimMuhammad Umar Karim KhanChong Min Kyung
Coupled Compression Methods 与剪枝,知识蒸馏或者硬件设计结合(这个方面目前研究还很少) Quantized Training 也许量化最重要的用途是用半精度加速神经网络训练[41,72,77,175]。这使得使用更快、更节能的低精度逻辑进行训练成为可能。 但是很难远远超过INT8训练的速度 且目前工作需要大量的超参数调整,并且使用INT8精度可...
Image Compression using Artificial Neural Networks (ANN) is significantly different than compressing raw binary data. General purpose compression programs can be used to compress images, but the result is less than optimal. This is because images have certain statistical properties which can be ...
The `Internet of Things' has brought increased demand for AI-based edge computing in applications ranging from healthcare monitoring systems to autonomous vehicles. Quantization is a powerful tool to address the growing computational cost of such applications, and yields significant compression over full...
Convolutional Neural Networks (CNNs) compression is crucial to deploying these models in edge devices with limited resources. Existing channel pruning algorithms for CNNs have achieved plenty of success on complex models. They approach the pruning problem from various perspectives and use different metri...
EagleEye 2020-ECCV-EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning 来源:ChenBong 博客园 Institute:Dark Matter AI Inc.、Sun Yat-sen Un
compressionNETWORKQUANTIZATIONDeep convolutional neural networks(DCNNs)have shown outstanding performance in the fields of computer vision,natural language processing,and complex system analysis.With the improvement of performance with deeper layers,DCNNs incur higher computational complexity and larger storage ...
Deep compression and EIE: Efficient inference engine on compressed deep neural network Dally. EIE: Efficient inference engine on compressed deep neural network. In Proc. 43rd Interna- tional Symposium on Computer Architecture, ISCA '16, ... H Song,X Liu,H Mao,... - IEEE 被引量: 446发表:...
Here, we demonstrate the first scalable integrated diffractive neural network (IDNN) chip using silicon PICs, which is capable of performing the parallel Fourier transform and convolution operations. Due to the utilization of on-chip compact diffractive cells (slab waveguides), both the footprint and...
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quanti...