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Data Compression

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Showing 151–200 of 459 papers

TitleStatusHype
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio NetworksCode0
Scaling Training Data with Lossy Image CompressionCode0
Accelerating the Low-Rank Decomposed Models—0
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law—0
Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention—0
Neural-based Video Compression on Solar Dynamics Observatory Images—0
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data—0
Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—0
An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data—0
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy—0
Ranking LLMs by compression—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency—0
A 7K Parameter Model for Underwater Image Enhancement based on Transmission Map PriorCode0
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing—0
Sparse L^1-Autoencoders for Scientific Data Compression—0
"Turing Tests" For An AI Scientist—0
Efficient Learned Wavelet Image and Video Coding—0
Effective In-Context Example Selection through Data Compression—0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling—0
Some Notes on the Sample Complexity of Approximate Channel Simulation—0
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems—0
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression—0
Quantization of Large Language Models with an Overdetermined Basis—0
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding—0
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression—0
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data—0
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets—0
Application of Tensorized Neural Networks for Cloud Classification—0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Probing Image Compression For Class-Incremental Learning—0
Blockchain-Enabled Variational Information Bottleneck for IoT NetworksCode0
On the Compressibility of Quantized Large Language Models—0
Towards Optimal Learning of Language Models—0
Distortion-Controlled Dithering with Reduced Recompression Rate—0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage—0
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth—0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Generative Visual Compression: A Review—0
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single TrainingCode0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Memory Efficient Corner Detection for Event-driven Dynamic Vision Sensors—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring—0
Transformer Masked Autoencoders for Next-Generation Wireless Communications: Architecture and Opportunities—0
Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis—0
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