Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural network compression. In one aspect, a method comprises receiving a neural network and identifying a particular set of multiple weights of the neural network. Multiple anchor points are ...
Deep Neural Network Compression by In-Parallel Pruning-Quantization 论文笔记 摘要 深度神经网络在视觉识别任务(如图像分类和物体检测)上实现了最先进的精确度。然而,现代网络包含数百万个已学习的连接,并且当前的趋势是朝向更深和更密集连接的体系结构。这对在资源受限的系统(例如智能手机或移动机器人)上部署最先进...
Soft Weight-Sharing for Neural Network Compression Karen UllrichEdward MeedsMax Welling Feb 2017 The success of deep learning in numerous application domains created the desire to run and train them on mobile devices. This however, conflicts with their computationally, memory and energy intense nature...
@article{kozlov2020neural, title = {Neural network compression framework for fast model inference}, author = {Kozlov, Alexander and Lazarevich, Ivan and Shamporov, Vasily and Lyalyushkin, Nikolay and Gorbachev, Yury}, journal = {arXiv preprint arXiv:2002.08679}, year = {2020} } Contributing...
通俗的话讲,就是对每个filter关于所有样本和位置的激活值做个均值,作为这个滤波器的绝对重要性,然后对该层所有绝对重要性做一个归一化变成相对的,在构造重构误差时,给每个filter乘一个相对重要性再计算范数。 最后,给出了decomposition的流程,也是利用二分法控制compression前后精度在一定范围。
Neural Network Compression Framework for enhanced OpenVINO™ inference Topics nlp sparsity compression deep-learning tensorflow transformers pytorch classification pruning object-detection quantization semantic-segmentation bert onnx openvino mixed-precision-training quantization-aware-training llm genai Resources...
Kohonen neural network for image coding based on iteration transformation theory Iterated transformation theory (ITT), also known as fractal coding, is a relatively new block compression method which removes redundancies between differe... A Bogdan,HE Meadows - Proceedings of SPIE - The International ...
In our compression, the filter importance index is defined as the classification accuracy reduction (CAR) of the network after pruning that filter. The filters are then iteratively pruned based on the CAR index. We demonstrate...
The computation and storage capacity of the edge device are limited, which seriously restrict the application of deep neural network in the device. Toward to the intelligent application of the edge device, we introduce the deep neural network compression algorithm based on knowledge transfer, a three...
DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING:用剪枝、训练量化和霍夫曼编码压缩深度神经网络 这篇论文是Stanford的Song Han的 ICLR2016 的 best paper 1 Abstract 论文想解决的问题? 神经网络的计算密集性以及内存密集性使得其在嵌入式设备上难以部署 论文...