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dirichlet distribution

46 papers

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Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) out-of-distribution detection (617) bayesian inference (1907) variational inference (2069) latent variable (541) variational autoencoder (1288) probabilistic modeling (852) tensor decomposition (375) topic model (290)

Papers

The continuous categorical: a novel simplex-valued exponential family ICML 2020
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation IJCNLP 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Uncertainty on Asynchronous Time Event Prediction NIPS 2019
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model JMLR 2019
Dirichlet Simplex Nest and Geometric Inference ICML 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration NIPS 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
A New Distribution on the Simplex with Auto-Encoding Applications NIPS 2019
Dirichlet belief networks for topic structure learning NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
The Poisson Gamma Belief Network NIPS 2015
Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014
A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010