| Generalization Guarantees for Imitation Learning | Aug 5, 2020 | Generalization BoundsImitation Learning | CodeCode Available | 1 |
| Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion | Feb 9, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Improving Generalization by Controlling Label-Noise Information in Neural Network Weights | Feb 19, 2020 | Data AugmentationGeneralization Bounds | CodeCode Available | 1 |
| In Search of Robust Measures of Generalization | Oct 22, 2020 | Generalization Bounds | CodeCode Available | 1 |
| SWAD: Domain Generalization by Seeking Flat Minima | Feb 17, 2021 | Domain GeneralizationGeneralization Bounds | CodeCode Available | 1 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 |
| AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs | Apr 19, 2023 | Generalization Boundsparameter-efficient fine-tuning | CodeCode Available | 1 |
| Deep Learning and the Information Bottleneck Principle | Mar 9, 2015 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Energy-guided Entropic Neural Optimal Transport | Apr 12, 2023 | Generalization BoundsImage-to-Image Translation | CodeCode Available | 1 |
| Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation | Jan 27, 2023 | Generalization Bounds | CodeCode Available | 1 |
