bayesian model

Variational Bayesian Unlearning NeurIPS 2020 A Generative Adversarial Density Estimator CVPR 2019 BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CoNLL 2019 GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019 Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019 The Functional Neural Process NeurIPS 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning Interspeech 2018 Learning Conceptual Space Representations of Interrelated Concepts IJCAI 2018 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Bayesian Hybrid Matrix Factorisation for Data Integration AISTATS 2017 Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017 Multiple Clustering Views from Multiple Uncertain Experts ICML 2017 Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 Assessing Idiosyncrasies in a Bayesian Model of Speech Communication Interspeech 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NeurIPS 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Showing versus doing: Teaching by demonstration NeurIPS 2016 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Congruency-Based Reranking CVPR 2014 A Practical Transfer Learning Algorithm for Face Verification ICCV 2013