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Data Compression

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Showing 51–75 of 459 papers

TitleStatusHype
AIDetx: a compression-based method for identification of machine-learning generated textCode0
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression—0
TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation—0
Variable Rate Neural Compression for Sparse Detector DataCode0
Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces—0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
Towards efficient compression and communication for prototype-based decentralized learning—0
Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer—0
HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data—0
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra—0
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization—0
SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones—0
MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW CompressionCode0
Integration of Communication and Computational Imaging—0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency—0
Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data—0
In-context learning and Occam's razorCode0
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection—0
Large Language Model Evaluation via Matrix Nuclear-NormCode0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Transformers learn variable-order Markov chains in-context—0
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV—0
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Anomaly Detection from a Tensor Train Perspective—0
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