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Data Compression
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논문
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All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
Anomaly Detection from a Tensor Train Perspective
AlphaZip: Neural Network-Enhanced Lossless Text Compression
Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
k-mer-based approaches to bridging pangenomics and population genetics
Learned Compression for Images and Point Clouds
Rate-Constrained Quantization for Communication-Efficient Federated Learning
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
BWT construction and search at the terabase scale
NDP: Next Distribution Prediction as a More Broad Target
Self-Adaptive Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
Semantic Variational Bayes Based on a Semantic Information Theory for Solving Latent Variables
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
Scaling Training Data with Lossy Image Compression
Accelerating the Low-Rank Decomposed Models
A Benchmark for Gaussian Splatting Compression and Quality Assessment Study
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention
Neural-based Video Compression on Solar Dynamics Observatory Images
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison
Entropy Law: The Story Behind Data Compression and LLM Performance
KeyVideoLLM: Towards Large-scale Video Keyframe Selection
An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data
Lossless data compression by large models
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
Ranking LLMs by compression
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
Language Models Resist Alignment: Evidence From Data Compression
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
A 7K Parameter Model for Underwater Image Enhancement based on Transmission Map Prior
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
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