| Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion | Feb 9, 2023 | Generalization Bounds | CodeCode Available | 1 | 5 |
| How Does Information Bottleneck Help Deep Learning? | May 30, 2023 | Deep LearningGeneralization Bounds | CodeCode Available | 1 | 5 |
| Bridging Theory and Algorithm for Domain Adaptation | Apr 11, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 1 | 5 |
| In Search of Robust Measures of Generalization | Oct 22, 2020 | Generalization Bounds | CodeCode Available | 1 | 5 |
| Energy-guided Entropic Neural Optimal Transport | Apr 12, 2023 | Generalization BoundsImage-to-Image Translation | CodeCode Available | 1 | 5 |
| Debiased Contrastive Learning | Jul 1, 2020 | Contrastive LearningGeneralization Bounds | CodeCode Available | 1 | 5 |
| AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs | Apr 19, 2023 | Generalization Boundsparameter-efficient fine-tuning | CodeCode Available | 1 | 5 |
| Do Generated Data Always Help Contrastive Learning? | Mar 19, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 | 5 |
| Estimating individual treatment effect: generalization bounds and algorithms | Jun 13, 2016 | Causal InferenceGeneralization Bounds | CodeCode Available | 1 | 5 |
| Generalization Guarantees for Imitation Learning | Aug 5, 2020 | Generalization BoundsImitation Learning | CodeCode Available | 1 | 5 |
