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probabilistic model

476 papers

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probabilistic modeling (852) bayesian inference (1907) variational inference (2069) generative model (2892) latent variable model (564) unsupervised learning (3264) uncertainty quantification (1393) topic modeling (461) expectation maximization (255) latent variable (541)

Papers

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs NIPS 2021
MRF-Chat: Improving Dialogue with Markov Random Fields EMNLP 2021
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets EMNLP 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Neural Temporal Point Processes: A Review IJCAI 2021
Probabilistic Model Distillation for Semantic Correspondence CVPR 2021
Prediction with Finitely many Errors Almost Surely AISTATS 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021
Convex Polytope Trees NIPS 2021
Directed Probabilistic Watershed NIPS 2021
Detecting English Speech in the Air Traffic Control Voice Communication INTERSPEECH 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NIPS 2021
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator NIPS 2021
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots AAAI 2021
Improving Dialog Systems for Negotiation with Personality Modeling ACL 2021
Partition and Code: learning how to compress graphs NIPS 2021
On Memorization in Probabilistic Deep Generative Models NIPS 2021
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021
A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL 2020
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020
Torch-Struct: Deep Structured Prediction Library ACL 2020