conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4,821 papers

Papers per year

Papers

Weak Supervision for Learning Discourse Structure EMNLP 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck EMNLP 2019
Evaluating Topic Quality with Posterior Variability EMNLP 2019
Neural Topic Model with Reinforcement Learning EMNLP 2019
Implicit Deep Latent Variable Models for Text Generation EMNLP 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation EMNLP 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019
Neural Gaussian Copula for Variational Autoencoder EMNLP 2019
Phrase Grounding by Soft-Label Chain Conditional Random Field EMNLP 2019
Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery EMNLP 2019
Interpretable Word Embeddings via Informative Priors EMNLP 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation EMNLP 2019
Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019
Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019
Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty ICCV 2019
Variational Few-Shot Learning ICCV 2019
AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019
Multi-View Stereo by Temporal Nonparametric Fusion ICCV 2019
Bayesian Relational Memory for Semantic Visual Navigation ICCV 2019
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019
Accelerate CNN via Recursive Bayesian Pruning ICCV 2019
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ICCV 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference ICCV 2019