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Weak sub-network pruning for strong and efficient neural networks.
Guo Q, Wu XJ, Kittler J, Feng Z. Guo Q, et al. Neural Netw. 2021 Dec;144:614-626. doi: 10.1016/j.neunet.2021.09.015. Epub 2021 Sep 30. Neural Netw. 2021. PMID: 34653719
Pruning methods to compress and accelerate deep convolutional neural networks (CNNs) have recently attracted growing attention, with the view of deploying pruned networks on resource-constrained hardware devices. However, most existing methods focus on …
Pruning methods to compress and accelerate deep convolutional neural networks (CNNs) have recently attracted growing attention …
Computing transition path theory quantities with trajectory stratification.
Vani BP, Weare J, Dinner AR. Vani BP, et al. J Chem Phys. 2022 Jul 21;157(3):034106. doi: 10.1063/5.0087058. J Chem Phys. 2022. PMID: 35868925 Free PMC article.
A common strategy for sampling reactive trajectories is to control the branching and pruning of trajectories so as to enhance the sampling of low probability segments. However, it can be challenging to apply transition path theory to data from such methods because d …
A common strategy for sampling reactive trajectories is to control the branching and pruning of trajectories so as to enhance the sam …
Developmental organization of neural dynamics supporting auditory perception.
Sakakura K, Sonoda M, Mitsuhashi T, Kuroda N, Firestone E, O'Hara N, Iwaki H, Lee MH, Jeong JW, Rothermel R, Luat AF, Asano E. Sakakura K, et al. Neuroimage. 2022 Sep;258:119342. doi: 10.1016/j.neuroimage.2022.119342. Epub 2022 May 30. Neuroimage. 2022. PMID: 35654375 Free PMC article.
We also provided evidence demonstrating the maturation of an anterior-to-posterior functional division within the superior-temporal gyrus (STG), which is known to exist in the adult STG. METHODS: We studied 32 patients undergoing extraoperative electrocorticography (age ra …
We also provided evidence demonstrating the maturation of an anterior-to-posterior functional division within the superior-temporal gyrus (S …
PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.
Wang S, Xie T, Liu H, Zhang X, Cheng J. Wang S, et al. Neural Netw. 2024 Jun;174:106263. doi: 10.1016/j.neunet.2024.106263. Epub 2024 Mar 20. Neural Netw. 2024. PMID: 38547802
Currently, a typical pruning algorithm leverages neural architecture search to directly find networks with a configurable width, the key step of which is to identify representative subnet for various pruning ratios by training a supernet. ...Extensive experiments de …
Currently, a typical pruning algorithm leverages neural architecture search to directly find networks with a configurable width, the …
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.
Fu Y, Liu C, Li D, Zhong Z, Sun X, Zeng J, Yao Y. Fu Y, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Feb;45(2):1749-1765. doi: 10.1109/TPAMI.2022.3168881. Epub 2023 Jan 6. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 35452384
., being trapped in the local optimal. Though techniques such as pruning and distillation are developed, they are expensive in fully training a dense network as backward selection methods; and there is still a void on systematically exploring forward selectio …
., being trapped in the local optimal. Though techniques such as pruning and distillation are developed, they are expensive in fully …
The Mann-Kendall-Sneyers test to identify the change points of COVID-19 time series in the United States.
Chen X, Wang H, Lyu W, Xu R. Chen X, et al. BMC Med Res Methodol. 2022 Aug 30;22(1):233. doi: 10.1186/s12874-022-01714-6. BMC Med Res Methodol. 2022. PMID: 36042407 Free PMC article.
The results are compared with two other change point detection methods, the pruned exact linear time (PELT) method and the regression-based method. ...However, due to its conservative nature in change point detection and moderate agreement with other methods, …
The results are compared with two other change point detection methods, the pruned exact linear time (PELT) method and the reg …
Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields.
Zhou XD, Wang DH, Tian F, Liu CL, Nakagawa M. Zhou XD, et al. IEEE Trans Pattern Anal Mach Intell. 2013 Oct;35(10):2413-26. doi: 10.1109/TPAMI.2013.49. IEEE Trans Pattern Anal Mach Intell. 2013. PMID: 23969386
Based on given models of character recognition and compatibilities, the fusion parameters are optimized by minimizing the negative log-likelihood loss with a margin term on a training string sample set. A forward-backward lattice pruning algorithm is proposed to red …
Based on given models of character recognition and compatibilities, the fusion parameters are optimized by minimizing the negative log-likel …
Predicting change in symptoms and function in patients with persistent shoulder pain: a prognostic model development study.
Rønnow MM, Stæhr TAB, Christiansen DH. Rønnow MM, et al. BMC Musculoskelet Disord. 2021 Aug 27;22(1):732. doi: 10.1186/s12891-021-04612-y. BMC Musculoskelet Disord. 2021. PMID: 34452608 Free PMC article.
Thus, the objective of this study was to develop a prognostic model to inform clinical decision making and predict change in symptoms and function in patients with persistent shoulder pain. METHODS: This was a prospective cohort study of 243 patients with persistent should …
Thus, the objective of this study was to develop a prognostic model to inform clinical decision making and predict change in symptoms and fu …
Fast inexact mapping using advanced tree exploration on backward search methods.
Salavert J, Tomás A, Tárraga J, Medina I, Dopazo J, Blanquer I. Salavert J, et al. BMC Bioinformatics. 2015 Jan 28;16:18. doi: 10.1186/s12859-014-0438-3. BMC Bioinformatics. 2015. PMID: 25626517 Free PMC article.
All these backward search algorithms have excellent performance, but their computational cost highly increases when allowing errors. In this paper, we discuss an inexact mapping algorithm based on pruning strategies for search tree exploration over genomic data. ...
All these backward search algorithms have excellent performance, but their computational cost highly increases when allowing errors. …
Incremental learning with selective memory (ILSM): towards fast prostate localization for image guided radiotherapy.
Gao Y, Zhan Y, Shen D. Gao Y, et al. Med Image Comput Comput Assist Interv. 2013;16(Pt 2):378-86. doi: 10.1007/978-3-642-40763-5_47. Med Image Comput Comput Assist Interv. 2013. PMID: 24579163 Free PMC article.
Specifically, starting with a population-based discriminative appearance model, ILSM aims to "personalize" the model to fit patient-specific appearance characteristics. Particularly, the model is personalized with two steps, backward pruning that discards obsolete p …
Specifically, starting with a population-based discriminative appearance model, ILSM aims to "personalize" the model to fit patient-specific …
18 results