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Data Compression

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Showing 126–150 of 459 papers

TitleStatusHype
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
AlphaZip: Neural Network-Enhanced Lossless Text CompressionCode0
Anomaly Detection from a Tensor Train Perspective—0
Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning—0
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles—0
k-mer-based approaches to bridging pangenomics and population genetics—0
Rate-Constrained Quantization for Communication-Efficient Federated Learning—0
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds—0
NDP: Next Distribution Prediction as a More Broad Target—0
Self-Adaptive Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays—0
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning—0
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression—0
Semantic Variational Bayes Based on a Semantic Information Theory for Solving Latent Variables—0
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