uncertainty estimation

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UAI 2026 FLoMo-Net: A Novel Task-Adaptive Mixture of Experts Routing Framework with Frequency and Uncertainty Correction for Medical Image Segmentation WACV 2026 Flow-Induced Diagonal Gaussian Processes AAAI 2026 From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation CVPR 2026 GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS WACV 2026 Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation CVPR 2026 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning AAAI 2026 HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration AAAI 2026 Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 iSplat: Iterative Learning for Fine-Grained Gaussian Splatting CVPR 2026 Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026 Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning CVPR 2026 Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026 Learning Scene Coordinate Reconstruction from Unposed Images via Pose Graph Optimization CVPR 2026 Learning Uncertainty from Sequential Internal Dispersion in Large Language Models ACL 2026 LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint) AAAI 2026 Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026 MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026 Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026 Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 On the Evaluation of Capability Estimation Methods for Large Language Models AAAI 2026 On the Impact of Weight Quantization on Deep Neural Network Uncertainty AAAI 2026 OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting WACV 2026