Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
5
7
4
9
71
90
96
90
127
113
152
198
196
168
213
197
273
389
460
470
455
481
482
385
273
2000
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Papers (including subtopics)
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
PGM 2022
K^2-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks
ACML 2021
3DP3: 3D Scene Perception via Probabilistic Programming
NeurIPS 2021
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables
JMLR 2021
A Bayesian Framework for Information-Theoretic Probing
EMNLP 2021
A Bayesian nonparametric approach to count-min sketch under power-law data streams
AISTATS 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery
UAI 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
NeurIPS 2021
A Bayes-Optimal View on Adversarial Examples
JMLR 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
CVPR 2021
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
NeurIPS 2021
Across-animal odor decoding by probabilistic manifold alignment
NeurIPS 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
NeurIPS 2021
Active Bayesian Assessment of Black-Box Classifiers
AAAI 2021
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs
WACV 2021
Active Learning for Bayesian 3D Hand Pose Estimation
WACV 2021
Active Learning of Continuous-time Bayesian Networks through Interventions
ICML 2021
Active Learning with Maximum Margin Sparse Gaussian Processes
AISTATS 2021
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
RSS 2021
A Discriminative Gaussian Mixture Model with Sparsity
ICLR 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
NeurIPS 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
EACL 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
NeurIPS 2021
Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition
CVPR 2021