| β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | Aug 31, 2020 | Bayesian InferenceData Summarization | CodeCode Available | 0 |
| Modulating Scalable Gaussian Processes for Expressive Statistical Learning | Aug 29, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Loss convergence in a causal Bayesian neural network of retail firm performance | Aug 29, 2020 | Variational Inference | CodeCode Available | 0 |
| Meta-Learning with Shared Amortized Variational Inference | Aug 27, 2020 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Training Multimodal Systems for Classification with Multiple Objectives | Aug 26, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Improving Fair Predictions Using Variational Inference In Causal Models | Aug 25, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Multiview Variational Deep Learning with Application to Scalable Indoor Localization | Aug 25, 2020 | Deep LearningIndoor Localization | —Unverified | 0 |
| Blindness of score-based methods to isolated components and mixing proportions | Aug 23, 2020 | Bayesian InferenceDensity Estimation | —Unverified | 0 |
| Dual Adversarial Auto-Encoders for Clustering | Aug 23, 2020 | ClusteringVariational Inference | —Unverified | 0 |
| Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding | Aug 23, 2020 | slot-fillingSlot Filling | —Unverified | 0 |
| WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels | Aug 22, 2020 | Variational Inference | —Unverified | 0 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Instance-Aware Graph Convolutional Network for Multi-Label Classification | Aug 19, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation | Aug 17, 2020 | Variational Inference | CodeCode Available | 0 |
| Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation | Aug 12, 2020 | Decoderimage-classification | CodeCode Available | 0 |
| Stochastic Bayesian Neural Networks | Aug 12, 2020 | Variational Inference | —Unverified | 0 |
| Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification | Aug 7, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification | Aug 6, 2020 | DisentanglementPerson Re-Identification | CodeCode Available | 0 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 |
| Multi-Sample Online Learning for Probabilistic Spiking Neural Networks | Jul 23, 2020 | MemorizationTime Series Analysis | —Unverified | 0 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | Jul 21, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Mixture Representation Learning with Coupled Autoencoders | Jul 20, 2020 | Representation LearningVariational Inference | —Unverified | 0 |
| GRADE: Graph Dynamic Embedding | Jul 16, 2020 | Community DetectionDynamic Community Detection | —Unverified | 0 |
| Measurement error models: from nonparametric methods to deep neural networks | Jul 15, 2020 | Efficient Neural Networkregression | —Unverified | 0 |
| VINNAS: Variational Inference-based Neural Network Architecture Search | Jul 12, 2020 | Computational Efficiencyimage-classification | —Unverified | 0 |