conftrace_

bayesian framework

43 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) generative model (2892) large language model (13587) gaussian process (1200) probabilistic modeling (852) perceptual decision making (6) robust principal component analysis (62) stochastic variational inference (59) latent variable model (564)

Papers

A Model of the Language Process ACL 2026
When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents AAAI 2026
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models ACL 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective IJCAI 2025
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data NIPS 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023
Rehearsal Learning for Avoiding Undesired Future NIPS 2023
Typological Word Order Correlations with Logistic Brownian Motion NAACL 2022
Probing as Quantifying Inductive Bias ACL 2022
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021
A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NIPS 2021
Probability Paths and the Structure of Predictions over Time NIPS 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021
Variational Few-Shot Learning ICCV 2019
Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal NIPS 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018