Bayesian & Probabilistic

Post-hoc loss-calibration for Bayesian neural networks UAI 2021 Precise characterization of the prior predictive distribution of deep ReLU networks NeurIPS 2021 Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Predictive Complexity Priors AISTATS 2021 Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild CVPR 2021 Probabilistic Attention for Interactive Segmentation NeurIPS 2021 Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning NAACL 2021 Probabilistic Dependency Graphs AAAI 2021 Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem RSS 2021 Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 Probabilistic Generating Circuits ICML 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Probabilistic Modeling for Human Mesh Recovery ICCV 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021 Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows ICCV 2021 Probabilistic Numeric Convolutional Neural Networks ICLR 2021 Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021 Probabilistic Programs with Stochastic Conditioning ICML 2021 Probabilistic Sequential Matrix Factorization AISTATS 2021 Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021 Probabilistic Sufficient Explanations IJCAI 2021 Probabilistic task modelling for meta-learning UAI 2021 Probabilistic Tensor Decomposition of Neural Population Spiking Activity NeurIPS 2021 Probability Paths and the Structure of Predictions over Time NeurIPS 2021 pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021