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| Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder | Jan 25, 2021 | 3D Object Reconstruction3D Shape Reconstruction | —Unverified | 0 |
| Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations | May 2, 2020 | Active LearningData Compression | —Unverified | 0 |
| Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey | Apr 9, 2024 | Data CompressionDeep Learning | —Unverified | 0 |
| Approximating Human-Like Few-shot Learning with GPT-based Compression | Aug 14, 2023 | Data CompressionFew-Shot Learning | —Unverified | 0 |
| Application of Tensorized Neural Networks for Cloud Classification | Mar 21, 2024 | Autonomous DrivingClassification | —Unverified | 0 |
| A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra | Nov 8, 2024 | Data Compression | —Unverified | 0 |
| A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications | Aug 31, 2021 | Data CompressionSSIM | —Unverified | 0 |
| A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments | Oct 17, 2018 | Cloud ComputingData Compression | —Unverified | 0 |
