| 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 |
| Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions | Aug 13, 2020 | Numerical IntegrationVariational Inference | CodeCode Available | 1 |
| Stochastic Bayesian Neural Networks | Aug 12, 2020 | Variational Inference | —Unverified | 0 |
| Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation | Aug 12, 2020 | Decoderimage-classification | CodeCode Available | 0 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 |
| From Rain Generation to Rain Removal | Aug 8, 2020 | Rain RemovalSingle Image Deraining | CodeCode Available | 1 |
| 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 |
