| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 |
| Celeste: Variational inference for a generative model of astronomical images | Jun 3, 2015 | Variational Inference | —Unverified | 0 |
| Central Limit Theorem for Bayesian Neural Network trained with Variational Inference | Jun 10, 2024 | Variational Inference | —Unverified | 0 |
| FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation | Mar 23, 2025 | Semantic SegmentationVariational Inference | —Unverified | 0 |
| CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection | Apr 4, 2020 | Conditional Text GenerationIntent Detection | —Unverified | 0 |
| Flat Seeking Bayesian Neural Networks | Feb 6, 2023 | Deep LearningVariational Inference | —Unverified | 0 |
| Challenges and Opportunities in High-dimensional Variational Inference | Mar 1, 2021 | Variational InferenceVocal Bursts Intensity Prediction | —Unverified | 0 |
| Asynchronous Stochastic Variational Inference | Jan 12, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Flexible Modeling of Latent Task Structures in Multitask Learning | Jun 27, 2012 | Variational Inference | —Unverified | 0 |
| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 |
