Results 21 to 30 of about 914,662 (294)
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch
IEEE Access, 2021 Due to space and inference time restrictions, finding an efficient and sparse sub-network from a dense and over-parameterized network is critical for deploying neural networks on edge devices.
Qiaoling Zhong +3 more
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Compressing the inert doublet model [PDF]
Physical Review D, 2016 The Inert Doublet Model relies on a discrete symmetry to prevent couplings of the new scalars to Standard Model fermions. This stabilizes the lightest inert state, which can then contribute to the observed dark matter density. In the presence of additional approximate symmetries, the resulting spectrum of exotic scalars can be compressed.
Blinov, Nikita +3 more
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Finite element modeling of fracture compression by compression plates
Journal of Orthopaedic Research, 2023 AbstractDynamic compression plating is a common type of fracture fixation used to compress between bone fragments. The quality of compression across the fracture is important for postoperative stability and primary bone healing. Compression quality may be affected by surgical variations in plate prebend, screw location, screw torque, fracture gap, and ...
Hwabok Wee +2 more
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A Neural Network Model Compression Approach Based on Deep Feature Map Transfer
IEEE Access, 2020 Neural network is widely used in computer vision. However, with the continuous expansion of the application field, high-precision large parameter neural network model is difficult to deploy on small equipment with limited resources.
Zhibo Guo +4 more
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SANA: Sensitivity-Aware Neural Architecture Adaptation for Uniform Quantization
Applied Sciences, 2023 Uniform quantization is widely taken as an efficient compression method in practical applications. Despite its merit of having a low computational overhead, uniform quantization fails to preserve sensitive components in neural networks when applied with ...
Mingfei Guo, Zhen Dong, Kurt Keutzer
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A recursive-faulting model of distributed damage in confined brittle materials [PDF]
, 2006 We develop a model of distributed damage in brittle materials deforming in triaxial compression based on the explicit construction of special microstructures obtained by recursive faulting.
Conti, S., Ortiz, M., Pandolfi, A.
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A model for rockfill compressibility [PDF]
Géotechnique, 2001 The paper presents a macroscopic constitutive model for rockfill that includes the effect of water on compressibility and collapse phenomena. Breakage of rock particles and fracture propagation are basic underlying mechanisms controlled by the relative humidity of the air filling the rockfill voids.
Oldecop, Luciano A. +1 more
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Filter Pruning with Convolutional Approximation Small Model Framework
Computation, 2023 Convolutional neural networks (CNNs) are extensively utilized in computer vision; however, they pose challenges in terms of computational time and storage requirements. To address this issue, one well-known approach is filter pruning.
Monthon Intraraprasit +1 more
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An Erlang multirate loss model supporting elastic traffic under the threshold policy [PDF]
, 2015 In this paper, we propose a multirate teletraffic loss model of a single link with certain bandwidth capacity that accommodates Poisson arriving calls, which can tolerate bandwidth compression (elastic traffic), under the threshold policy.
Boucouvalas, Anthony +3 more
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Mathematics, 2023 Among various network compression methods, network pruning has developed rapidly due to its superior compression performance. However, the trivial pruning threshold limits the compression performance of pruning.
Yunlong Ding, Di-Rong Chen
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