| Bridging Theory and Algorithm for Domain Adaptation | Apr 11, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 1 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 |
| Deep Learning and the Information Bottleneck Principle | Mar 9, 2015 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Do Generated Data Always Help Contrastive Learning? | Mar 19, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs | Apr 19, 2023 | Generalization Boundsparameter-efficient fine-tuning | CodeCode Available | 1 |
| Estimating individual treatment effect: generalization bounds and algorithms | Jun 13, 2016 | Causal InferenceGeneralization Bounds | CodeCode Available | 1 |
| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | 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 |
| Improving Generalization by Controlling Label-Noise Information in Neural Network Weights | Feb 19, 2020 | Data AugmentationGeneralization Bounds | CodeCode Available | 1 |
| (Almost) No Label No Cry | Dec 1, 2014 | Generalization BoundsPrivacy Preserving | —Unverified | 0 |
