| Unsupervised Neural Machine Translation with Future Rewarding | Nov 1, 2019 | DecoderMachine Translation | —Unverified | 0 | 0 |
| Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery | Feb 7, 2022 | DecoderDisentanglement | —Unverified | 0 | 0 |
| Unsupervised Variational Acoustic Clustering | Mar 24, 2025 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives | Jan 26, 2022 | Variational Inference | —Unverified | 0 | 0 |
| UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows | Mar 29, 2025 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| Use of Variational Inference in Music Emotion Recognition | Jun 27, 2021 | Emotion RecognitionMusic Emotion Recognition | —Unverified | 0 | 0 |
| Using Large Ensembles of Control Variates for Variational Inference | Oct 30, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model | Nov 7, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Using Social Network Information in Bayesian Truth Discovery | Jun 8, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Using Soft Labels to Model Uncertainty in Medical Image Segmentation | Sep 26, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 | 0 |
