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Data Compression

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Showing 1–50 of 459 papers

TitleStatusHype
XGBoost: A Scalable Tree Boosting SystemCode4
XGBoost: Scalable GPU Accelerated LearningCode4
Lossless data compression by large modelsCode3
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?Code3
Compact 3D Scene Representation via Self-Organizing Gaussian GridsCode3
An Introduction to Neural Data CompressionCode2
ReplayCAD: Generative Diffusion Replay for Continual Anomaly DetectionCode2
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language ModelsCode2
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified ApproachCode2
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species GenomeCode2
Residual Quantization with Implicit Neural CodebooksCode2
DD-Ranking: Rethinking the Evaluation of Dataset DistillationCode2
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
Bayesian Flow NetworksCode2
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
BWT construction and search at the terabase scaleCode2
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural RepresentationsCode1
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative ModelsCode1
Representation Learning via Manifold Flattening and ReconstructionCode1
Memory Replay with Data Compression for Continual LearningCode1
Language Models Resist Alignment: Evidence From Data CompressionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Lite Audio-Visual Speech EnhancementCode1
Learned Compression for Images and Point CloudsCode1
Lossless Compression with Probabilistic CircuitsCode1
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language ModelsCode1
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source CodingCode1
Microshift: An Efficient Image Compression Algorithm for HardwareCode1
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate ReductionCode1
Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State DecodingCode1
Fast and Multi-aspect Mining of Complex Time-stamped Event StreamsCode1
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud EncoderCode1
Detecting Deepfakes with Metric LearningCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Efficient Sparse Coding using Hierarchical Riemannian PursuitCode1
Improving Lossless Compression Rates via Monte Carlo Bits-Back CodingCode1
Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)Code1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy CompressionCode1
A Benchmark for Gaussian Splatting Compression and Quality Assessment StudyCode1
Communication-Efficient Federated Learning with Compensated Overlap-FedAvgCode1
Entropy Law: The Story Behind Data Compression and LLM PerformanceCode1
Evaluating Large Language Models for Generalization and Robustness via Data CompressionCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
Graph Autoencoder for Graph Compression and Representation LearningCode1
DC-BENCH: Dataset Condensation BenchmarkCode1
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split ComputingCode1
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
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