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Data Compression

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Showing 301–350 of 459 papers

TitleStatusHype
Text Ranking and Classification using Data CompressionCode0
A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications—0
Multi-dimensional graph fractional Fourier transform and its application—0
Learned Image Coding for Machines: A Content-Adaptive Approach—0
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
Communication-Efficient Federated Learning via Predictive CodingCode0
A Statistical Extension of Byte-Pair EncodingCode0
Samplets: A new paradigm for data compression—0
Cascade Decoders-Based Autoencoders for Image Reconstruction—0
Quantum Data Compression and Quantum Cross EntropyCode0
ADVERT: An Adaptive and Data-Driven Attention Enhancement Mechanism for Phishing Prevention—0
Privacy Amplification Via Bernoulli Sampling—0
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate ReductionCode1
Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis—0
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC—0
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
Efficient Sparse Coding using Hierarchical Riemannian PursuitCode1
Microshift: An Efficient Image Compression Algorithm for HardwareCode1
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
A Decade of Research for Image Compression In Multimedia Laboratory—0
Bayesian Attention Networks for Data Compression—0
Learning Stable Representations with Full Encoder—0
Data Discovery Using Lossless Compression-Based Sparse Representation—0
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid—0
Data Compression with Bayesian Attention Networks—0
Graph Autoencoder for Graph Compression and Representation LearningCode1
Neural data compression for physics plasma simulation—0
COIN: COmpression with Implicit Neural representationsCode1
You Only Compress Once: Optimal Data Compression for Estimating Linear ModelsCode1
Improving Lossless Compression Rates via Monte Carlo Bits-Back CodingCode1
An Information-Theoretic Justification for Model PruningCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models—0
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation—0
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder—0
Overfitting for Fun and Profit: Instance-Adaptive Data Compression—0
Generalized Image Reconstruction over T-AlgebraCode0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Hard Masking for Explaining Graph Neural Networks—0
Neural Joint Entropy EstimationCode0
Communication-Efficient Federated Learning with Compensated Overlap-FedAvgCode1
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering—0
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images—0
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory—0
A New Approach of Data Pre-processing for Data Compression in Smart Grids—0
Maximum Likelihood Estimation in Data-Driven Modeling and Control—0
Distance Invariant Sparse Autoencoder for Wireless Signal Strength Mapping—0
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding—0
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