| Dropout Sampling for Robust Object Detection in Open-Set Conditions | Oct 18, 2017 | image-classificationImage Classification | —Unverified | 0 |
| A Generalization Bound for Online Variational Inference | Apr 8, 2019 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 |
| Dual Adversarial Auto-Encoders for Clustering | Aug 23, 2020 | ClusteringVariational Inference | —Unverified | 0 |
| Approximate Probabilistic Inference with Composed Flows | Sep 28, 2020 | Variational Inference | —Unverified | 0 |
| Bayesian Crowdsourcing with Constraints | Dec 20, 2020 | Variational Inference | —Unverified | 0 |
| Streaming Adaptive Nonparametric Variational Autoencoder | Jun 7, 2019 | ClusteringFeature Engineering | —Unverified | 0 |
| Bayesian Robust Tensor Factorization for Incomplete Multiway Data | Oct 9, 2014 | Model SelectionVariational Inference | —Unverified | 0 |
| A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning | Dec 1, 2021 | Active LearningInductive Bias | —Unverified | 0 |
| DropMax: Adaptive Stochastic Softmax | Jan 1, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Dual Adversarial Variational Embedding for Robust Recommendation | Jun 30, 2021 | Variational Inference | —Unverified | 0 |
