Papers with Code 아카이브
Data Compression
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
Kernel $k$-Medoids as General Vector Quantization
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
Stationary MMD Points for Cubature
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
Efficient compression of neural networks and datasets
Learning novel representations of variable sources from multi-modal $\textit{Gaia}$ data via autoencoders
Combining Progressive Image Compression and Random Access in DNA Data Storage
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
Is Compression Really Linear with Code Intelligence?
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
3D Gaussian Splatting Data Compression with Mixture of Priors
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification
Representing Flow Fields with Divergence-Free Kernels for Reconstruction
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
Nonlinear Multiple Response Regression and Learning of Latent Spaces
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network
Lossy Neural Compression for Geospatial Analytics: A Review
Quantum autoencoders for image classification
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression
Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.