Results 51 to 60 of about 377,372 (346)
Importance Estimation for Neural Network Pruning [PDF]
Computer Vision and Pattern Recognition, 2019 Structural pruning of neural network parameters reduces computational, energy, and memory transfer costs during inference. We propose a novel method that estimates the contribution of a neuron (filter) to the final loss and iteratively removes those with
Pavlo Molchanov +4 more
semanticscholar +1 more source
Effects of pruning on canopy microenvironment, branch composition and nut quality in Xinjiang walnut [PDF]
Guoshu xuebao[Objective] Pruning is a crucial aspect in fruit cultivation management. The suitable pruning can enhance ventilation and light penetration within the canopy, improve photosynthetic capacity and light energy utilization efficiency, thereby establishing a
HAN Liqun +4 more
doaj +1 more source
THE GROWTH AND YIELD OF COFFEE ARABICA IN SHADE CONDITIONS ON DIFFERENT TREATMENT OF PRUNING AND FERTILIZING [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2020 Coffee plants are C3 plant groups, with characteristic of low photosynthetic efficiency, which is due to the occurrence of photorespiration. In simple agroforestry systems, legumes are commonly used as shade trees.
Siahaan A.S.A. +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
Alternate-year walnut pruning can boost yields, cut cost
California Agriculture, 1994 Annual pruning was compared to nonpruning for 8 years and to two alternate-year pruning treatments for 4 years in a mature, full-canopied ‘Ashley’ walnut orchard.
W Olson, D Ramos, R Snyder
doaj +3 more sources
IEEE Access, 2023 In the past decade, Convolutional Neural Networks (CNNs) have achieved tremendous success in solving complex classification problems. CNN architectures require an excessive number of computations to achieve high accuracy.
Zahra Waheed +4 more
doaj +1 more source
Detecting Blackholes and Volcanoes in Directed Networks [PDF]
, 2010 In this paper, we formulate a novel problem for finding blackhole and volcano patterns in a large directed graph. Specifically, a blackhole pattern is a group which is made of a set of nodes in a way such that there are only inlinks to this group from ...
Li, Zhongmou, Liu, Yanchi, Xiong, Hui
core
Automated Pruning for Deep Neural Network Compression
, 2019 In this work we present a method to improve the pruning step of the current state-of-the-art methodology to compress neural networks. The novelty of the proposed pruning technique is in its differentiability, which allows pruning to be performed during ...
Bianco, Simone +4 more
core +1 more source
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
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source