This paper is a survey of neural network pruning algorithms. The approach taken by the methods described here is to train a network that is larger than necessary and then remove the parts that are not needed. > 展开全部 机器翻译 参考文献 被引用(4) 社区问答 参考文献 发布时间 · 被...
As a result researchers have developed various techniques for pruning the neural networks. This paper provides a survey of existing pruning techniques that optimize the architecture of neural networks and discusses their advantages and limitations. Also the paper evaluates the effectiveness of various ...
Reed, R.: Pruning algorithms – a survey. IEEE Transactions on Neural Networks 4, 740–747 (1993) Article Google Scholar Lecun, Y., Denker, J., Solla, S., Howard, R.E., Jackel, L.D.: Optimal brain damage. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Sy...
the act of trimming a plant 学习怎么用 双语例句 用作名词(n.) He has been pruning the pear trees. 他一直在修剪梨树。 Wounds frequently occur as a result of pruning. 修剪往往造成损伤。 权威例句 Pruning algorithms-a survey Pruning algorithms-a survey ...
Accelerating CNN inference on FPGAs: A Survey. ArXiv preprint... Achronix Semiconductor Corporation, 2020. FPGAs Enable the Next Generation of Communication and Networking Solutions... Albanie, 2020. convnet-burden... Alemdar, H., Leroy, V., Prost-Boucle, A., Petrot, F., 2017. Ternary...
The goal of this paper is therefore to provide a survey of modern advances in the theory of B&B algorithms, particularly with regards to the above three components. In addition, three important research directions are highlighted that are currently unresolved or unstudied in the literature. These ...
We were able to show that the variability of the resistance states due to the resetting of the memristive devices leads to convergence of the learning algorithms and finding optimal voltage amplitudes for the pruning pulses through a thorough parameter study. Furthermore, we could show that we ...
Network Pruning is a popular approach to reduce a heavy network to obtain a light-weight form by removing redundancy in the heavy network. In this approach, a complex over-parameterized network is first trained, then pruned based on come criterions, and finally fine-tuned to achieve comparable...
This review has conducted a detailed survey of the papers in the field of network pruning, and suggests that a pruning algorithm can be divided into four parts: which parts of the network to prune, according to what rules to prune, when to prune, and whether to prune at once or iterative...
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey 2024, Cognitive Computation Automatic filter pruning algorithm for image classification 2024, Applied Intelligence CALYOLOv4: lightweight YOLOv4 target detection based on coordinated attention 2023, Journal of Supercomputing View all ...