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Data Compression

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Showing 51–100 of 459 papers

TitleStatusHype
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy CompressionCode1
SSMF: Shifting Seasonal Matrix FactorizationCode1
Transformer-based Transform CodingCode1
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization ApproachCode1
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate ReductionCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
Efficient Sparse Coding using Hierarchical Riemannian PursuitCode1
Microshift: An Efficient Image Compression Algorithm for HardwareCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
Graph Autoencoder for Graph Compression and Representation LearningCode1
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
Communication-Efficient Federated Learning with Compensated Overlap-FedAvgCode1
Self-Supervised Variational Auto-EncodersCode1
Lite Audio-Visual Speech EnhancementCode1
Neural network compression via learnable wavelet transformsCode1
Detecting Deepfakes with Metric LearningCode1
Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations—0
GratNet: A Photorealistic Neural Shader for Diffractive Surfaces—0
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical dataCode0
Kernel k-Medoids as General Vector Quantization—0
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression—0
Stationary MMD Points for CubatureCode0
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables—0
Efficient compression of neural networks and datasetsCode0
Learning novel representations of variable sources from multi-modal Gaia data via autoencoders—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Is Compression Really Linear with Code Intelligence?—0
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression—0
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression—0
Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems—0
3D Gaussian Splatting Data Compression with Mixture of Priors—0
Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies—0
Quantum Autoencoder for Multivariate Time Series Anomaly Detection—0
FPGA-Based Neural Network Accelerators for Space Applications: A Survey—0
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction—0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU functionCode0
Nonlinear Multiple Response Regression and Learning of Latent Spaces—0
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction—0
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Quantum autoencoders for image classification—0
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