| Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity | Jan 31, 2023 | Generalization BoundsSpecificity | CodeCode Available | 0 |
| Norm-based Generalization Bounds for Compositionally Sparse Neural Networks | Jan 28, 2023 | Generalization Bounds | —Unverified | 0 |
| Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions | Jan 27, 2023 | Generalization Bounds | —Unverified | 0 |
| Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation | Jan 27, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation | Jan 25, 2023 | Audio Source SeparationGeneralization Bounds | —Unverified | 0 |
| Transformers as Algorithms: Generalization and Stability in In-context Learning | Jan 17, 2023 | Generalization BoundsIn-Context Learning | CodeCode Available | 0 |
| How To Prevent the Poor Performance Clients for Personalized Federated Learning? | Jan 1, 2023 | Federated LearningGeneralization Bounds | —Unverified | 0 |
| Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels | Jan 1, 2023 | Generalization Bounds | —Unverified | 0 |
| Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization | Dec 27, 2022 | Generalization Bounds | —Unverified | 0 |
| Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers | Dec 23, 2022 | Few-Shot LearningGeneralization Bounds | —Unverified | 0 |
