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Bayesian Inference

4,821 papers

Papers per year

Papers

Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification AAAI 2020
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation AAAI 2020
Crowd Counting with Decomposed Uncertainty AAAI 2020
Probabilistic Super Resolution for Mineral Spectroscopy AAAI 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020
HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract) AAAI 2020
Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020
Tree-Structured Neural Topic Model ACL 2020
Biomedical Entity Representations with Synonym Marginalization ACL 2020
Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020
Unsupervised Opinion Summarization as Copycat-Review Generation ACL 2020
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020
Neural Mixed Counting Models for Dispersed Topic Discovery ACL 2020
Estimating predictive uncertainty for rumour verification models ACL 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation ACL 2020
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment ACL 2020
On Application of Bayesian Parametric and Non-parametric Methods for User Cohorting in Product Search ACL 2020
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning ACML 2020