| A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions | May 6, 2024 | Image RetrievalSensitivity | —Unverified | 0 | 0 |
| Adversarial Training is a Form of Data-dependent Operator Norm Regularization | Jun 4, 2019 | FormSensitivity | —Unverified | 0 | 0 |
| Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network | Jan 7, 2019 | Arrhythmia DetectionDiagnostic | —Unverified | 0 | 0 |
| Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity | Nov 3, 2022 | Attributecompressed sensing | —Unverified | 0 | 0 |
| A new robust feature selection method using variance-based sensitivity analysis | Apr 13, 2018 | BIG-bench Machine LearningComputational Efficiency | —Unverified | 0 | 0 |
| Can LLMs Maintain Fundamental Abilities under KV Cache Compression? | Feb 4, 2025 | Arithmetic ReasoningCode Generation | —Unverified | 0 | 0 |
| Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest X-rays? An evaluation of five AI products for TB screening and triaging in a high TB burden setting | Jun 9, 2020 | SensitivitySpecificity | —Unverified | 0 | 0 |
| A new paradigm for global sensitivity analysis | Sep 10, 2024 | Sensitivity | —Unverified | 0 | 0 |
| Adversarial Training for Probabilistic Spiking Neural Networks | Feb 22, 2018 | Sensitivity | —Unverified | 0 | 0 |
| Non-invasive Liver Fibrosis Screening on CT Images using Radiomics | Nov 25, 2022 | feature selectionregression | —Unverified | 0 | 0 |
