uncertainty estimation

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval EMNLP 2025 LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025 Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation ACL 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 MotionMap: Representing Multimodality in Human Pose Forecasting CVPR 2025 Multivariate Probabilistic Assessment of Speech Quality Interspeech 2025 Multi-view Gaze Target Estimation ICCV 2025 Neural Context Flows for Meta-Learning of Dynamical Systems ICLR 2025 Neural Inertial Odometry from Lie Events RSS 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025 Over the Top-1: Uncertainty-Aware Cross-Modal Retrieval with CLIP UAI 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS AAAI 2025 Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025 Probabilistic Language-Image Pre-Training ICLR 2025 PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection CVPR 2025 Random-Set Neural Networks ICLR 2025 Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025 Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025 Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025 Rényi Neural Processes ICML 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025