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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026

Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026

MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026

Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026

Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026

FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair WACV 2026

MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory EACL 2026

Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026

Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026

Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026

Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026

Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026

Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026

Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation EACL 2026

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026

Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network AAAI 2026