uncertainty estimation

4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization NeurIPS 2024 A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models ICML 2024 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory CVPR 2024 Active Domain Adaptation with False Negative Prediction for Object Detection CVPR 2024 Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation EMNLP 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding NeurIPS 2024 An Empirical Study Into What Matters for Calibrating Vision-Language Models ICML 2024 An Information Theoretic Perspective on Conformal Prediction NeurIPS 2024 Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024 Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions EACL 2024 Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ICLR 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference ICLR 2024 Bayesian Low-rank Adaptation for Large Language Models ICLR 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024 Can LLM be a Personalized Judge? EMNLP 2024 Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NeurIPS 2024 Conformalized Deep Splines for Optimal and Efficient Prediction Sets AISTATS 2024 Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation CoRL 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024