uncertainty quantification

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024 DORY: Deliberative Prompt Recovery for LLM ACL 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ICLR 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 Early-Exit Neural Networks with Nested Prediction Sets UAI 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model ACL 2024 Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors EMNLP 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 End-to-end Conditional Robust Optimization UAI 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024