Results 11 to 20 of about 114,287 (303)
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning [PDF]
Neural Information Processing Systems, 2022 We consider the problem of model compression for deep neural networks (DNNs) in the challenging one-shot/post-training setting, in which we are given an accurate trained model, and must compress it without any retraining, based only on a small amount of ...
Elias Frantar, Dan Alistarh
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Algorithm for Solving and Updating Combinatorial Skyline [PDF]
Jisuanji gongcheng, 2017 Existing algorithms for querying combinatorial Skyline have low pruning efficiency and unsatisfactory computing speed for low-dimensional data set.Aiming at these problems,this paper proposes a fast algorithm for solving and updating combinatorial ...
DONG Leigang,LIU Guohua
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Agriculture, 2021 Pruning is one of the most manpower-consuming agricultural operations in citrus production. Mechanical pruning can help to reduce pruning time and costs.
Patricia Chueca +5 more
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Channel Pruning for Accelerating Very Deep Neural Networks [PDF]
IEEE International Conference on Computer Vision, 2017 In this paper, we introduce a new channel pruning method to accelerate very deep convolutional neural networks. Given a trained CNN model, we propose an iterative two-step algorithm to effectively prune each layer, by a LASSO regression based channel ...
Yihui He, Xiangyu Zhang, Jian Sun
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A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage resources.
Hongrong Cheng +2 more
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Structured Pruning for Deep Convolutional Neural Networks: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 The remarkable performance of deep Convolutional neural networks (CNNs) is generally attributed to their deeper and wider architectures, which can come with significant computational costs.
Yang He, Lingao Xiao
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Structural Pruning for Diffusion Models [PDF]
Neural Information Processing Systems, 2023 Generative modeling has recently undergone remarkable advancements, primarily propelled by the transformative implications of Diffusion Probabilistic Models (DPMs).
Gongfan Fang, Xinyin Ma, Xinchao Wang
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Frontiers in Plant Science, 2022 The essential oil of Rosa damascena is extensively used as a key natural ingredient in the perfume and cosmetic industries. However, the productivity and quality of rose oil are a big concern from the old plantation.
Shivani +7 more
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Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity [PDF]
International Conference on Machine Learning, 2023 Large Language Models (LLMs), renowned for their remarkable performance across diverse domains, present a challenge when it comes to practical deployment due to their colossal model size.
Lu Yin +9 more
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Projets de Paysage, 2023 In France today, the art of Japanese gardening still arouses a great deal of curiosity. The art of pruning is a particularly important topic since it impacts the daily work of gardeners in plant maintenance.
Yoko Mizuma
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