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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Bayesian Inference
4821 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition
AAAI 2025
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
ACL 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
ICCV 2025
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
ICCV 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
ACL 2025
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
ACL 2025
Inverse Problems with Diffusion Models: A MAP Estimation Perspective
WACV 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models
ACL 2025
Uncertainty-Guided Metric Learning without Labels
WACV 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction
WACV 2025
Questioning Our Questions: How Well Do Medical QA Benchmarks Evaluate Clinical Capabilities of Language Models?
ACL 2025
Statistical field theory for Markov decision processes under uncertainty
JMLR 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process
JMLR 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
NAACL 2025
Bayesian Score Calibration for Approximate Models
JMLR 2025
Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach
ACL 2025
Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization
ICCV 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
ACL 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
AAAI 2025
Combining Climate Models using Bayesian Regression Trees and Random Paths
JMLR 2025
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
AAAI 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
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