| Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning | Jan 13, 2024 | Decision MakingVariational Inference | —Unverified | 0 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 |
| VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition | Jan 10, 2024 | Event DetectionTransfer Learning | CodeCode Available | 0 |
| Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks | Jan 6, 2024 | RetrievalVariational Inference | —Unverified | 0 |
| Complementary Information Mutual Learning for Multimodality Medical Image Segmentation | Jan 5, 2024 | Image SegmentationInductive Bias | —Unverified | 0 |
| Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors | Jan 5, 2024 | DenoisingVariational Inference | CodeCode Available | 0 |
| Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures | Jan 1, 2024 | Outlier DetectionVariational Inference | CodeCode Available | 0 |
| A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry | Dec 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Tractable Function-Space Variational Inference in Bayesian Neural Networks | Dec 28, 2023 | Bayesian InferenceMedical Diagnosis | CodeCode Available | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 |
