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| Isometric Gaussian Process Latent Variable Model for Dissimilarity Data | Jun 21, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Gray-box inference for structured Gaussian process models | Sep 14, 2016 | Stochastic OptimizationStructured Prediction | —Unverified | 0 | 0 |
| Neural Graph Collaborative Filtering Using Variational Inference | Nov 20, 2023 | Collaborative FilteringRecommendation Systems | —Unverified | 0 | 0 |
| Concurrent Training and Layer Pruning of Deep Neural Networks | Jun 6, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Amortized Bayesian Meta-Learning | May 1, 2019 | Few-Shot Image ClassificationFew-Shot Learning | —Unverified | 0 | 0 |
| A Deep Variational Bayesian Framework for Blind Image Deblurring | Jun 5, 2021 | Blind Image DeblurringDeblurring | —Unverified | 0 | 0 |
| A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning | May 5, 2022 | Object TrackingState Estimation | —Unverified | 0 | 0 |
