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Sensing and Automation in Pruning of Apple Trees: A Review
Agronomy, 2018 Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry.
Long He, James Schupp
exaly +3 more sources
Journal of Advanced Research, 2022 Introduction: Root pruning is commonly used to facilitate seedling transplantation for the restoration of degraded or damaged ecosystems. However, little is known about how root growth coordinates morphology, physiology and defense functions following ...
Deliang Kong +2 more
exaly +3 more sources
A Simple and Effective Pruning Approach for Large Language Models [PDF]
International Conference on Learning Representations, 2023 As their size increases, Large Languages Models (LLMs) are natural candidates for network pruning methods: approaches that drop a subset of network weights while striving to preserve performance.
Mingjie Sun +3 more
semanticscholar +1 more source
LLM-Pruner: On the Structural Pruning of Large Language Models [PDF]
Neural Information Processing Systems, 2023 Large language models (LLMs) have shown remarkable capabilities in language understanding and generation. However, such impressive capability typically comes with a substantial model size, which presents significant challenges in both the deployment ...
Xinyin Ma, Gongfan Fang, Xinchao Wang
semanticscholar +1 more source
DepGraph: Towards Any Structural Pruning [PDF]
Computer Vision and Pattern Recognition, 2023 Structural pruning enables model acceleration by removing structurally-grouped parameters from neural networks. However, the parameter-grouping patterns vary widely across different models, making architecture-specific pruners, which rely on manually ...
Gongfan Fang +4 more
semanticscholar +1 more source
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning [PDF]
International Conference on Learning Representations, 2023 The popularity of LLaMA (Touvron et al., 2023a;b) and other recently emerged moderate-sized large language models (LLMs) highlights the potential of building smaller yet powerful LLMs.
Mengzhou Xia +3 more
semanticscholar +1 more source
To Filter Prune, or to Layer Prune, That Is the Question [PDF]
, 2021 Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameters and that of FLOPs are usually the reported metrics to measure the quality of the pruned models.
Sara Elkerdawy +4 more
openaire +2 more sources
Beyond neural scaling laws: beating power law scaling via data pruning [PDF]
Neural Information Processing Systems, 2022 Widely observed neural scaling laws, in which error falls off as a power of the training set size, model size, or both, have driven substantial performance improvements in deep learning.
Ben Sorscher +4 more
semanticscholar +1 more source
Response of corn (Zea mays L) yield to leaf pruning under the cob [PDF]
E3S Web of Conferences, 2022 The corn plant is one of the most important food crops, in addition to wheat and rice. In addition to the main source of carbohydrates, it is also an alternative food corn is also grown as animal feed (forage and cob). One of the efforts that can be done
Polakitan Derek J. +2 more
doaj +1 more source
Mechanical Pruning of ‘Clemenules’ Mandarins in Spain: Yield Effects and Economic Analysis
Agronomy, 2022 Pruning is one of the most expensive tasks in citrus production, and its mechanization could increase the productivity and competitiveness of citrus farms.
Alberto Fonte +4 more
doaj +1 more source