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Data Compression
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer
Mathematical model of parameters relevance in adaptive level-crossing sampling for electrocardiogram signals
Artificial Intelligence in Creative Industries: Advances Prior to 2025
Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
Quantum Implicit Neural Compression
Learned Data Compression: Challenges and Opportunities for the Future
Multi-Scale Node Embeddings for Graph Modeling and Generation
Solving High-dimensional Inverse Problems Using Amortized Likelihood-free Inference with Noisy and Incomplete Data
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling
Construction of generalized samplets in Banach spaces
AIDetx: a compression-based method for identification of machine-learning generated text
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation
Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces
Variable Rate Neural Compression for Sparse Detector Data
BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
Towards efficient compression and communication for prototype-based decentralized learning
Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer
HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones
MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
Integration of Communication and Computational Imaging
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy
Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency
Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data
In-context learning and Occam's razor
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
Large Language Model Evaluation via Matrix Nuclear-Norm
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
Transformers learn variable-order Markov chains in-context
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