| Rate-Constrained Quantization for Communication-Efficient Federated Learning | Sep 10, 2024 | Data CompressionFederated Learning | —Unverified | 0 | 0 |
| Rate Distortion For Model Compression: From Theory To Practice | Oct 9, 2018 | Data CompressionModel Compression | —Unverified | 0 | 0 |
| Recovering compressed images for automatic crack segmentation using generative models | Mar 6, 2020 | Compressive SensingCrack Segmentation | —Unverified | 0 | 0 |
| Reduced Basis Decomposition: a Certified and Fast Lossy Data Compression Algorithm | Mar 19, 2015 | Data CompressionDimensionality Reduction | —Unverified | 0 | 0 |
| Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding | Oct 8, 2020 | Data CompressionImage Compression | —Unverified | 0 | 0 |
| Regularized L21-Based Semi-NonNegative Matrix Factorization | May 10, 2020 | BIG-bench Machine LearningData Compression | —Unverified | 0 | 0 |
| Reinforcement Learning with Simple Sequence Priors | May 26, 2023 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Reliable validation of Reinforcement Learning Benchmarks | Mar 2, 2022 | BenchmarkingData Compression | —Unverified | 0 | 0 |
| Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer | Nov 12, 2024 | AttributeData Compression | —Unverified | 0 | 0 |
| Representing Flow Fields with Divergence-Free Kernels for Reconstruction | Apr 2, 2025 | Computational EfficiencyData Compression | —Unverified | 0 | 0 |