bayesian model

GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025 Measuring IIA Violations in Similarity Choices with Bayesian Models UAI 2025 NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Theoretical proposal for a unified Bayesian model of adaptation in non-interactive and interactive speech production Interspeech 2025 A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick EMNLP 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Multinomial belief networks for healthcare data MLHC 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 VaRT: Variational Regression Trees NeurIPS 2023 Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022 Disentangled Spatiotemporal Graph Generative Models AAAI 2022 Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022 Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NeurIPS 2022 Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems Interspeech 2022 Automatic structured variational inference AISTATS 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer Interspeech 2021 System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison Interspeech 2021 HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract) AAAI 2020 Improving Confidence Estimates for Unfamiliar Examples CVPR 2020 Scalable Gaussian Process Regression Networks IJCAI 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020