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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NIPS 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021
Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
Contrastive Active Inference NIPS 2021
Bayesian Optimization of Function Networks NIPS 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Black Box Probabilistic Numerics NIPS 2021
Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021
Estimating α-Rank by Maximizing Information Gain AAAI 2021
Probabilistic Modeling for Human Mesh Recovery ICCV 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
A Hybrid Probabilistic Approach for Table Understanding AAAI 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors NIPS 2021
Probabilistic Dependency Graphs AAAI 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability ICML 2021
SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021