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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees AAAI 2026
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026
Client-level Active Error Correction in Distributed Learning AAAI 2026
Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026
Best Arm Identification with Biased Contexts AAAI 2026
Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks AAAI 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026
LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks AAAI 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026
VOCAL: Visual Odometry via ContrAstive Learning WACV 2026
Estimating the True Distribution of Data Collected with Randomized Response AAAI 2026
SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations AAAI 2026
Uncertainty-Guided Metric Learning without Labels WACV 2025
Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025
Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization OSDI 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025
Seal Your Backdoor with Variational Defense ICCV 2025
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation CVPR 2025
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025