Copertina

Reduced storage direct tensor ring decomposition for convolutional neural networks compression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gabor, Mateusz, Zdunek, Rafał
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Tensor network compressibility of convolutional models
di: Singh, Sukhbinder, et al.
Pubblicazione: (2024)

Multi-task convolutional neural network for image aesthetic assessment
di: Soydaner, Derya, et al.
Pubblicazione: (2023)

Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
di: Kasani, Amin Ahmadi, et al.
Pubblicazione: (2024)

Kinematic analysis of structural mechanics based on convolutional neural network
di: Zhang, Leye, et al.
Pubblicazione: (2024)

Enhancing convolutional neural network generalizability via low-rank weight approximation
di: Gao, Chenyin, et al.
Pubblicazione: (2022)

Permutation-equivariant quantum convolutional neural networks
di: Das, Sreetama, et al.
Pubblicazione: (2024)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
di: Wysoczanski, Artur, et al.
Pubblicazione: (2024)

Robustly overfitting latents for flexible neural image compression
di: Perugachi-Diaz, Yura, et al.
Pubblicazione: (2024)

DropCluster: A structured dropout for convolutional networks
di: Chen, Liyan, et al.
Pubblicazione: (2020)

CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
di: Zhong, Chong, et al.
Pubblicazione: (2023)

The role of data embedding in equivariant quantum convolutional neural networks
di: Das, Sreetama, et al.
Pubblicazione: (2023)

Detection of retinal diseases using an accelerated reused convolutional network
di: Kasani, Amin Ahmadi, et al.
Pubblicazione: (2025)

Neighbor-aware informal settlement mapping with graph convolutional networks
di: Hallopeau, Thomas, et al.
Pubblicazione: (2025)

Image space formalism of convolutional neural networks for k-space interpolation
di: Dawood, Peter, et al.
Pubblicazione: (2024)

Aligned explanations in neural networks
di: Lobet, Corentin, et al.
Pubblicazione: (2026)

Equivariant neural networks and equivarification
di: Bao, Erkao, et al.
Pubblicazione: (2019)

On the explainability of max-plus neural networks
di: Enaieh, Ikhlas, et al.
Pubblicazione: (2026)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
di: Slootweg, I. R., et al.
Pubblicazione: (2024)

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
di: Schlamowitz, Zachary, et al.
Pubblicazione: (2025)

Identity documents recognition and detection using semantic segmentation with convolutional neural network
di: Kozlenko, Mykola, et al.
Pubblicazione: (2025)

On margin-based generalization prediction in deep neural networks
di: Mouton, Coenraad
Pubblicazione: (2024)

Characterization of topological structures in different neural network architectures
di: Świder, Paweł
Pubblicazione: (2024)

Are classical deep neural networks weakly adversarially robust?
di: Sun, Nuolin, et al.
Pubblicazione: (2025)

Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
di: Hamila, Oumaima, et al.
Pubblicazione: (2023)

MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation
di: Niu, Penghui, et al.
Pubblicazione: (2025)

Spectral structural distortion reveals redundant neurons in neural networks
di: Wang, Yongyu
Pubblicazione: (2026)

Sparse components distinguish visual pathways & their alignment to neural networks
di: Marvi, Ammar I, et al.
Pubblicazione: (2025)

Training morphological neural networks with gradient descent: some theoretical insights
di: Blusseau, Samy
Pubblicazione: (2024)

Neural network relief: a pruning algorithm based on neural activity
di: Dekhovich, Aleksandr, et al.
Pubblicazione: (2021)

Enhancing compact convolutional transformers with super attention
di: Leandre, Simpenzwe Honore, et al.
Pubblicazione: (2025)

LDConv: Linear deformable convolution for improving convolutional neural networks
di: Zhang, Xin, et al.
Pubblicazione: (2023)

Robustness to distribution shifts of compressed networks for edge devices
di: Shen, Lulan, et al.
Pubblicazione: (2024)

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis
di: Gabdullin, Nikita
Pubblicazione: (2024)

Using predefined vector systems to speed up neural network multimillion class classification
di: Gabdullin, Nikita, et al.
Pubblicazione: (2026)

InfoGNN: End-to-end deep learning on mesh via graph neural networks
di: Gao, Ling, et al.
Pubblicazione: (2025)

Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
di: Badar, Zia
Pubblicazione: (2025)

Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models
di: Szokalski, Adam, et al.
Pubblicazione: (2026)

tenSVD algorithm for compression
di: Gallo, Michele
Pubblicazione: (2025)

GD doesn't make the cut: Three ways that non-differentiability affects neural network training
di: Kumar, Siddharth Krishna
Pubblicazione: (2024)

Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks
di: Hallopeau, Thomas, et al.
Pubblicazione: (2025)