| TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers | Jul 5, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 |
| Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness | Jul 5, 2023 | Adversarial RobustnessLearning Theory | —Unverified | 0 |
| Direct segmentation of brain white matter tracts in diffusion MRI | Jul 5, 2023 | Brain SegmentationDiffusion MRI | —Unverified | 0 |
| Last layer state space model for representation learning and uncertainty quantification | Jul 4, 2023 | Representation LearningUncertainty Quantification | —Unverified | 0 |
| Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences | Jul 4, 2023 | CaricatureUncertainty Quantification | CodeCode Available | 0 |
| Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models | Jul 3, 2023 | FormInstruction Following | CodeCode Available | 1 |
| Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration | Jul 3, 2023 | Autonomous DrivingObject | CodeCode Available | 1 |
| Morse Neural Networks for Uncertainty Quantification | Jul 2, 2023 | Anomaly DetectionOne-class classifier | —Unverified | 0 |
| Hybrid uncertainty quantification for selective text classification in ambiguous tasks | Jul 1, 2023 | text-classificationText Classification | —Unverified | 0 |
| Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning | Jul 1, 2023 | D4RLmodel | CodeCode Available | 1 |
