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Data Compression

Papers

Showing 2650 of 459 papers

TitleStatusHype
Evaluating Large Language Models for Generalization and Robustness via Data CompressionCode1
Entropy Law: The Story Behind Data Compression and LLM PerformanceCode1
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative ModelsCode1
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source CodingCode1
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate ReductionCode1
Lossless Compression with Probabilistic CircuitsCode1
Learned Compression for Images and Point CloudsCode1
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
Language Models Resist Alignment: Evidence From Data CompressionCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text CompressionCode1
Memory Replay with Data Compression for Continual LearningCode1
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split ComputingCode1
Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State DecodingCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
A Benchmark for Gaussian Splatting Compression and Quality Assessment StudyCode1
Communication-Efficient Federated Learning with Compensated Overlap-FedAvgCode1
COIN: COmpression with Implicit Neural representationsCode1
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
Lite Audio-Visual Speech EnhancementCode1
Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)Code1
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud EncoderCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy CompressionCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
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