| Two Methods For Wild Variational Inference | Nov 30, 2016 | Variational InferenceVocal Bursts Valence Prediction | —Unverified | 0 | 0 |
| Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference | Oct 1, 2019 | Activity RecognitionBayesian Inference | —Unverified | 0 | 0 |
| Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference | Nov 27, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 | 0 |
| Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning | Jan 8, 2019 | Bayesian InferenceDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks | Apr 15, 2025 | AttributeDiagnostic | —Unverified | 0 | 0 |
| Uncertainty Estimation in Cancer Survival Prediction | Mar 19, 2020 | PredictionSurvival Prediction | —Unverified | 0 | 0 |
| Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective | Oct 2, 2022 | Decision MakingSensitivity | —Unverified | 0 | 0 |
| Uncertainty in Model-Agnostic Meta-Learning using Variational Inference | Jul 27, 2019 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Uncertainty Quantification for Traffic Forecasting: A Unified Approach | Aug 11, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Uncertainty Quantification in Alzheimer's Disease Progression Modeling | Aug 13, 2024 | Ensemble LearningPrognosis | —Unverified | 0 | 0 |
| Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes | Feb 17, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| Uncertainty quantification of neural network models of evolving processes via Langevin sampling | Apr 21, 2025 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION | Sep 29, 2021 | Decoderimage-classification | —Unverified | 0 | 0 |
| Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective | Jan 25, 2023 | Graph Neural NetworkVariational Inference | —Unverified | 0 | 0 |
| Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial | Nov 24, 2024 | Learning TheoryVariational Inference | —Unverified | 0 | 0 |
| Understanding Posterior Collapse in Generative Latent Variable Models | Mar 27, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Understanding Stochastic Natural Gradient Variational Inference | Jun 4, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control | Mar 14, 2025 | Contrastive LearningMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Unifying and extending Diffusion Models through PDEs for solving Inverse Problems | Apr 10, 2025 | DenoisingDensity Estimation | —Unverified | 0 | 0 |
| Unitary Approximate Message Passing for Sparse Bayesian Learning | Jan 25, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Unitary Approximate Message Passing for Matrix Factorization | Jul 31, 2022 | Compressive SensingDictionary Learning | —Unverified | 0 | 0 |
| UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data | Oct 22, 2020 | ClusteringPrediction | —Unverified | 0 | 0 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model | Jun 30, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders | May 21, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder | Feb 18, 2022 | Multi-Object TrackingMultiple Object Tracking | —Unverified | 0 | 0 |