| On the Compressibility of Quantized Large Language Models | Mar 3, 2024 | Data CompressionQuantization | —Unverified | 0 |
| Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy | Feb 19, 2023 | Data CompressionFederated Learning | —Unverified | 0 |
| On the Information in Extreme Measurements for Parameter Estimation | Sep 23, 2018 | Data Compressionparameter estimation | —Unverified | 0 |
| On the Performance of Data Compression in Clustered Fog Radio Access Networks | Jul 1, 2022 | Data Compression | —Unverified | 0 |
| Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery | Oct 10, 2021 | Data AugmentationData Compression | —Unverified | 0 |
| Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach | Nov 3, 2022 | ClassificationData Compression | —Unverified | 0 |
| Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression | Apr 3, 2024 | Autonomous VehiclesData Compression | —Unverified | 0 |
| Overfitting for Fun and Profit: Instance-Adaptive Data Compression | Jan 21, 2021 | Data CompressionImage Compression | —Unverified | 0 |
| Parametric context adaptive Laplace distribution for multimedia compression | Oct 14, 2019 | Data CompressionQuantization | —Unverified | 0 |
| Person Identification using Seismic Signals generated from Footfalls | Sep 24, 2018 | Data CompressionPerson Identification | —Unverified | 0 |
