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Data Compression
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Sparse $L^1$-Autoencoders for Scientific Data Compression
"Turing Tests" For An AI Scientist
Efficient Learned Wavelet Image and Video Coding
Effective In-Context Example Selection through Data Compression
Goal-oriented compression for $L_p$-norm-type goal functions: Application to power consumption scheduling
Some Notes on the Sample Complexity of Approximate Channel Simulation
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Quantization of Large Language Models with an Overdetermined Basis
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets
Application of Tensorized Neural Networks for Cloud Classification
SketchINR: A First Look into Sketches as Implicit Neural Representations
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
Blockchain-Enabled Variational Information Bottleneck for IoT Networks
Probing Image Compression For Class-Incremental Learning
On the Compressibility of Quantized Large Language Models
Tokenization Is More Than Compression
Towards Optimal Learning of Language Models
Distortion-Controlled Dithering with Reduced Recompression Rate
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
TexShape: Information Theoretic Sentence Embedding for Language Models
Generative Visual Compression: A Review
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
Evaluating Large Language Models for Generalization and Robustness via Data Compression
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
Residual Quantization with Implicit Neural Codebooks
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
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