Results 11 to 20 of about 226,838 (267)
Graph pruning for model compression [PDF]
Applied Intelligence, 2022 accepted by Applied ...
Mingyang Zhang 0007 +3 more
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CoRR, 2021 With time, machine learning models have increased in their scope, functionality and size. Consequently, the increased functionality and size of such models requires high-end hardware to both train and provide inference after the fact. This paper aims to explore the possibilities within the domain of model compression, discuss the efficiency of ...
Arhum Ishtiaq +3 more
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Language Modeling Is Compression
CoRR, 2023 It has long been established that predictive models can be transformed into lossless compressors and vice versa. Incidentally, in recent years, the machine learning community has focused on training increasingly large and powerful self-supervised (language) models.
Grégoire Delétang +11 more
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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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Model for the Elasticity of Compressed Emulsions [PDF]
Physical Review Letters, 1996 RevTeX with psfig-included figures and a galley ...
Lacasse, Martin-Daniel +4 more
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Model-Based Compressive Sensing [PDF]
IEEE Transactions on Information Theory, 2010 20 pages, 10 figures. Typo corrected in grant number.
Richard G. Baraniuk +3 more
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Compact Neural Architecture Designs by Tensor Representations
Frontiers in Artificial Intelligence, 2022 We propose a framework of tensorial neural networks (TNNs) extending existing linear layers on low-order tensors to multilinear operations on higher-order tensors.
Jiahao Su +6 more
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Sensors, 2022 Nowadays, improving the traffic safety of visually impaired people is a topic of widespread concern. To help avoid the risks and hazards of road traffic in their daily life, we propose a wearable device using object detection techniques and a novel ...
Junjie Shen, Yiwen Chen, Hideyuki Sawada
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A Lightweight Graph Neural Network Algorithm for Action Recognition Based on Self-Distillation
Algorithms, 2023 Recognizing human actions can help in numerous ways, such as health monitoring, intelligent surveillance, virtual reality and human–computer interaction. A quick and accurate detection algorithm is required for daily real-time detection. This paper first
Miao Feng, Jean Meunier
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DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models
Journal of Chemical Theory and Computation, 2022 Machine-learning-based interatomic potential energy surface (PES) models are revolutionizing the field of molecular modeling. However, although much faster than electronic structure schemes, these models suffer from costly computations via deep neural networks to predict the energy and atomic forces, resulting in lower running efficiency as compared to
Denghui Lu +6 more
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