| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| A Batch Normalized Inference Network Keeps the KL Vanishing Away | Apr 27, 2020 | Dialogue GenerationLanguage Modeling | CodeCode Available | 1 | 5 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 | 5 |
| Accurate Node Feature Estimation with Structured Variational Graph Autoencoder | Jun 9, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 | 5 |
