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bayesian model

59 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) generative model (2892) unsupervised learning (3264) uncertainty quantification (1393) probabilistic modeling (852) active learning (1301) posterior approximation (132) topic modeling (461) reinforcement learning (4352)

Papers

NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025
Estimating the Hallucination Rate of Generative AI NIPS 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick EMNLP 2024
VaRT: Variational Regression Trees NIPS 2023
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023
Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems INTERSPEECH 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Disentangled Spatiotemporal Graph Generative Models AAAI 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NIPS 2022
Automatic structured variational inference AISTATS 2021
Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer INTERSPEECH 2021
Information Directed Reward Learning for Reinforcement Learning NIPS 2021
System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison INTERSPEECH 2021
Improving Confidence Estimates for Unfamiliar Examples CVPR 2020
HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract) AAAI 2020
Variational Bayesian Unlearning NIPS 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020
GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019
Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019