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Bayesian Inference

5,566 papers

Papers per year

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522
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Papers

Cascaded Head-colliding Attention ACL 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking ACL 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation ACL 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021
Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021
$K^2$-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks ACML 2021
Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021
Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
Benchmarking Simulation-Based Inference AISTATS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data AISTATS 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021