AIMC Topic: Data Compression

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Data-Independent Structured Pruning of Neural Networks via Coresets.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Model compression is crucial for the deployment of neural networks on devices with limited computational and memory resources. Many different methods show comparable accuracy of the compressed model and similar compression rates. However, the majorit...
Neural Networks, Computer Algorithms Neurons Data Compression
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SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Deep neural networks include millions of learnable parameters, making their deployment over resource-constrained devices problematic. Sensitivity-based regularization of neurons (SeReNe) is a method for learning sparse topologies with a structure, ex...
Neural Networks, Computer Algorithms Neurons Data Compression
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Learned Gradient Compression for Distributed Deep Learning.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Training deep neural networks on large datasets containing high-dimensional data requires a large amount of computation. A solution to this problem is data-parallel distributed training, where a model is replicated into several computational nodes th...
Neural Networks, Computer Deep Learning Data Compression Entropy
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Deep Learning-Based Synthesized View Quality Enhancement with DIBR Distortion Mask Prediction Using Synthetic Images.

Sensors (Basel, Switzerland) Oct 24, 2022
Recently, deep learning-based image quality enhancement models have been proposed to improve the perceptual quality of distorted synthesized views impaired by compression and the Depth Image-Based Rendering (DIBR) process in a multi-view video system...
Deep Learning Image Enhancement Data Compression
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IIB-CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning.

Sensors (Basel, Switzerland) Oct 21, 2022
Perceptual encryption (PE) of images protects visual information while retaining the intrinsic properties necessary to enable computation in the encryption domain. Block-based PE produces JPEG-compliant images with almost the same compression savings...
Algorithms Deep Learning Privacy Computer Security Data Compression
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Perturbation of deep autoencoder weights for model compression and classification of tabular data.

Neural networks : the official journal of the International Neural Network Society Sep 27, 2022
Fully connected deep neural networks (DNN) often include redundant weights leading to overfitting and high memory requirements. Additionally, in tabular data classification, DNNs are challenged by the often superior performance of traditional machine...
Neural Networks, Computer Machine Learning Data Compression Physical Phenomena
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RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy.

IEEE journal of translational engineering in health and medicine Aug 16, 2022
: The emergence of wireless capsule endoscopy (WCE) has presented a viable non-invasive mean of identifying gastrointestinal diseases in the field of clinical gastroenterology. However, to overcome its extended time of manual inspection, a computer a...
Neural Networks, Computer Animals Deep Learning Rats Gastrointestinal Tract Capsule Endoscopy Data Compression
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A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application.

Sensors (Basel, Switzerland) Jul 27, 2022
Nowadays, there is a tradeoff between the deep-learning module-compression ratio and the module accuracy. In this paper, a strategy for refining the pruning quantification and weights based on neural network filters is proposed. Firstly, filters in t...
Neural Networks, Computer Deep Learning Data Compression Physical Phenomena
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High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm.

Sensors (Basel, Switzerland) Jul 19, 2022
This paper presents a method of high-capacity and transparent watermarking based on the usage of deep neural networks with the adjustable subsquares properties algorithm to encode the data of a watermark in high-quality video using the H.265/HEVC (Hi...
Neural Networks, Computer Algorithms Video Recording Data Compression
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Auxiliary Pneumonia Classification Algorithm Based on Pruning Compression.

Computational and mathematical methods in medicine Jul 18, 2022
Pneumonia infection is the leading cause of death in young children. The commonly used pneumonia detection method is that doctors diagnose through chest X-ray, and external factors easily interfere with the results. Assisting doctors in diagnosing pn...
Humans Neural Networks, Computer Algorithms Deep Learning Child, Preschool Child Pneumonia Data Compression
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