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Data Compression

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Showing 1–50 of 459 papers

TitleStatusHype
XGBoost: Scalable GPU Accelerated LearningCode4
XGBoost: A Scalable Tree Boosting SystemCode4
Lossless data compression by large modelsCode3
Compact 3D Scene Representation via Self-Organizing Gaussian GridsCode3
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?Code3
DD-Ranking: Rethinking the Evaluation of Dataset DistillationCode2
ReplayCAD: Generative Diffusion Replay for Continual Anomaly DetectionCode2
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified ApproachCode2
BWT construction and search at the terabase scaleCode2
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language ModelsCode2
Residual Quantization with Implicit Neural CodebooksCode2
Bayesian Flow NetworksCode2
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species GenomeCode2
An Introduction to Neural Data CompressionCode2
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language ModelsCode1
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud EncoderCode1
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text CompressionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Learned Compression for Images and Point CloudsCode1
A Benchmark for Gaussian Splatting Compression and Quality Assessment StudyCode1
Entropy Law: The Story Behind Data Compression and LLM PerformanceCode1
Language Models Resist Alignment: Evidence From Data CompressionCode1
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative ModelsCode1
Tripod: Three Complementary Inductive Biases for Disentangled Representation LearningCode1
SketchINR: A First Look into Sketches as Implicit Neural RepresentationsCode1
Tokenization Is More Than CompressionCode1
Evaluating Large Language Models for Generalization and Robustness via Data CompressionCode1
RSCNet: Dynamic CSI Compression for Cloud-based WiFi SensingCode1
Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State DecodingCode1
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural RepresentationsCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Representation Learning via Manifold Flattening and ReconstructionCode1
Fast and Multi-aspect Mining of Complex Time-stamped Event StreamsCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
TINC: Tree-structured Implicit Neural CompressionCode1
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical DataCode1
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)Code1
DC-BENCH: Dataset Condensation BenchmarkCode1
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source CodingCode1
DCT-Former: Efficient Self-Attention with Discrete Cosine TransformCode1
Memory Replay with Data Compression for Continual LearningCode1
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split ComputingCode1
Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's PerspectiveCode1
Towards Empirical Sandwich Bounds on the Rate-Distortion FunctionCode1
Lossless Compression with Probabilistic CircuitsCode1
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