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Data Compression

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Showing 201–250 of 459 papers

TitleStatusHype
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy—0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage—0
Memory Efficient Corner Detection for Event-driven Dynamic Vision Sensors—0
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring—0
Millimeter-Scale Ultra-Low-Power Imaging System for Intelligent Edge Monitoring—0
Minimum Description Length Revisited—0
Modality-Agnostic Variational Compression of Implicit Neural Representations—0
MoEC: Mixture of Experts Implicit Neural Compression—0
Multi-dimensional graph fractional Fourier transform and its application—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
Multi-rate adaptive transform coding for video compression—0
Multi-Scale Node Embeddings for Graph Modeling and Generation—0
NDP: Next Distribution Prediction as a More Broad Target—0
Neural-based Video Compression on Solar Dynamics Observatory Images—0
Neural data compression for physics plasma simulation—0
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation—0
Nonlinear Multiple Response Regression and Learning of Latent Spaces—0
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data—0
On compression rate of quantum autoencoders: Control design, numerical and experimental realization—0
On Robust Wasserstein Barycenter: The Model and Algorithm—0
On the approximation of rough functions with deep neural networks—0
On the Compressibility of Quantized Large Language Models—0
Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy—0
On the Information in Extreme Measurements for Parameter Estimation—0
On the Performance of Data Compression in Clustered Fog Radio Access Networks—0
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery—0
Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach—0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression—0
Overfitting for Fun and Profit: Instance-Adaptive Data Compression—0
Parametric context adaptive Laplace distribution for multimedia compression—0
Person Identification using Seismic Signals generated from Footfalls—0
Physically interpretable machine learning algorithm on multidimensional non-linear fields—0
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Privacy Amplification Via Bernoulli Sampling—0
Probability Distribution on Full Rooted Trees—0
Probability Distribution on Rooted Trees—0
Probing Image Compression For Class-Incremental Learning—0
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
Quantization of Large Language Models with an Overdetermined Basis—0
Quantum Autoencoder for Multivariate Time Series Anomaly Detection—0
Quantum autoencoders for image classification—0
Data centers with quantum random access memory and quantum networks—0
Quantum Implicit Neural Compression—0
Self-Adaptive Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays—0
QuicK-means: Acceleration of K-means by learning a fast transform—0
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets—0
Random Projections with Asymmetric Quantization—0
Ranking LLMs by compression—0
Rate-Constrained Quantization for Communication-Efficient Federated Learning—0
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