Bayesian Inference

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021 Learning Bayesian Networks from Ordinal Data JMLR 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction NeurIPS 2021 Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior AAAI 2021 Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks AAAI 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021 Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent NeurIPS 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NeurIPS 2021 Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021 Learning Nonparametric Volterra Kernels with Gaussian Processes NeurIPS 2021 Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Learning proposals for probabilistic programs with inference combinators UAI 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NeurIPS 2021 Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021 Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos ICCV 2021 Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CoRL 2021 Learning to Select Exogenous Events for Marked Temporal Point Process NeurIPS 2021 Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CoRL 2021 Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021 Librispeech Transducer Model with Internal Language Model Prior Correction Interspeech 2021 Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021 LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking ACL 2021 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021