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Data Compression

Papers

Showing 101150 of 459 papers

TitleStatusHype
Lossless data compression by large modelsCode3
Ranking LLMs by compression0
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution0
Language Models Resist Alignment: Evidence From Data CompressionCode1
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency0
A 7K Parameter Model for Underwater Image Enhancement based on Transmission Map PriorCode0
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing0
Sparse L^1-Autoencoders for Scientific Data Compression0
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative ModelsCode1
"Turing Tests" For An AI Scientist0
Efficient Learned Wavelet Image and Video Coding0
Effective In-Context Example Selection through Data Compression0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling0
Some Notes on the Sample Complexity of Approximate Channel Simulation0
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems0
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression0
Tripod: Three Complementary Inductive Biases for Disentangled Representation LearningCode1
Quantization of Large Language Models with an Overdetermined Basis0
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding0
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression0
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data0
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets0
Application of Tensorized Neural Networks for Cloud Classification0
SketchINR: A First Look into Sketches as Implicit Neural RepresentationsCode1
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies0
Blockchain-Enabled Variational Information Bottleneck for IoT NetworksCode0
Probing Image Compression For Class-Incremental Learning0
On the Compressibility of Quantized Large Language Models0
Tokenization Is More Than CompressionCode1
Towards Optimal Learning of Language Models0
Distortion-Controlled Dithering with Reduced Recompression Rate0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage0
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Generative Visual Compression: A Review0
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single TrainingCode0
Evaluating Large Language Models for Generalization and Robustness via Data CompressionCode1
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language ModelsCode2
Residual Quantization with Implicit Neural CodebooksCode2
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution0
RSCNet: Dynamic CSI Compression for Cloud-based WiFi SensingCode1
Memory Efficient Corner Detection for Event-driven Dynamic Vision Sensors0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
Transformer Masked Autoencoders for Next-Generation Wireless Communications: Architecture and Opportunities0
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring0
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