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Data Compression

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Showing 351–400 of 459 papers

TitleStatusHype
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
Rate Distortion For Model Compression: From Theory To Practice—0
Recovering compressed images for automatic crack segmentation using generative models—0
Reduced Basis Decomposition: a Certified and Fast Lossy Data Compression Algorithm—0
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding—0
Regularized L21-Based Semi-NonNegative Matrix Factorization—0
Reinforcement Learning with Simple Sequence Priors—0
Reliable validation of Reinforcement Learning Benchmarks—0
Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding—0
Robust PCA with compressed data—0
Samplet basis pursuit: Multiresolution scattered data approximation with sparsity constraints—0
Samplets: A new paradigm for data compression—0
SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones—0
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing—0
SC2 Benchmark: Supervised Compression for Split Computing—0
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization—0
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction—0
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations—0
Semantic Feature Division Multiple Access for Digital Semantic Broadcast Channels—0
Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency—0
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