uncertainty
A measure of the confidence that a model has in its predictions, important for improving decision-making and robustness in uncertain environments.
- Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
- Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
- An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
- ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
- Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
- Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
- NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
- THUNDER: Tile-level Histopathology image UNDERstanding benchmark
- Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs