Results 61 to 70 of about 343,225 (391)
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks [PDF]
arXiv, 2021 Channel pruning is a promising technique to compress the parameters of deep convolutional neural networks(DCNN) and to speed up the inference. This paper aims to address the long-standing inefficiency of channel pruning. Most channel pruning methods recover the prediction accuracy by re-training the pruned model from the remaining parameters or random ...
arxiv
To Prune or not to Prune: A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks
, 2023 Reducing the size of a neural network (pruning) by removing weights without impacting its performance is an important problem for resource-constrained devices. In the past, pruning was typically accomplished by ranking or penalizing weights based on criteria like magnitude and removing low-ranked weights before retraining the remaining ones.
Sahu, Rajan +4 more
openaire +2 more sources
TREE CANOPY PRUNING DOES NOT REGULATE BIENNIAL BEARING IN ”ELSTAR” APPLE (Malus domestica Borkh.) [PDF]
Poljoprivreda, 2004 Four alternative pruning strategies (A– 25 generative buds, B– 50 generative buds, C– 75 generative buds and D–100 generative buds per tree) for Elstar apple cultivar and their possible impact on improvement in productivity were examined in 1999 and 2000.
Nikola Pavičić +3 more
doaj
Pruning Galton-Watson Trees and Tree-valued Markov Processes [PDF]
, 2011 We present a new pruning procedure on discrete trees by adding marks on the nodes of trees. This procedure allows us to construct and study a tree-valued Markov process $\{{\cal G}(u)\}$ by pruning Galton-Watson trees and an analogous process $\{{\cal G}^
Abraham, Romain +2 more
core +5 more sources
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning [PDF]
IEEE International Conference on Computer Vision, 2019 In this paper, we propose a novel meta learning approach for automatic channel pruning of very deep neural networks. We first train a PruningNet, a kind of meta network, which is able to generate weight parameters for any pruned structure given the ...
Zechun Liu +6 more
semanticscholar +1 more source
Western Journal of Medicine, 2000 On a typical afternoon in the pediatric clinic, Mrs. Johnson brought in her 4-month old daughter for a well-child examination. I went through the usual discussion of proper nutrition, safety precautions, and other matters of anticipatory guidance. As I was finishing our visit, I asked Mrs. Johnson, a first-time mother, if she had any questions.
openaire +3 more sources
Ethylene Prunes Translation [PDF]
Cell, 2015 Ethylene regulates many aspects of plant growth and development. In the presence of ethylene, the C terminus of EIN2 (EIN2C) translocates into the nucleus and activates transcription. Li et al. and Merchante et al. show that EIN2C also regulates translation through an interaction with the 3' UTRs of transcripts.
Mark Estelle, Mohammad Salehin
openaire +3 more sources
Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance [PDF]
, 2019 Ensemble methods, such as the traditional bagging algorithm, can usually improve the performance of a single classifier. However, they usually require large storage space as well as relatively time-consuming predictions. Many approaches were developed to
Chen, Bi +4 more
core +2 more sources
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning [PDF]
Computer Vision and Pattern Recognition, 2019 Structured pruning of filters or neurons has received increased focus for compressing convolutional neural networks. Most existing methods rely on multi-stage optimizations in a layer-wise manner for iteratively pruning and retraining which may not be ...
Shaohui Lin +7 more
semanticscholar +1 more source