| Estimating individual treatment effect: generalization bounds and algorithms | Jun 13, 2016 | Causal InferenceGeneralization Bounds | CodeCode Available | 1 | 5 |
| Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis | Mar 4, 2021 | Deep LearningDomain Generalization | CodeCode Available | 1 | 5 |
| Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation | Jan 27, 2023 | Generalization Bounds | CodeCode Available | 1 | 5 |
| Generalization Guarantees for Imitation Learning | Aug 5, 2020 | Generalization BoundsImitation Learning | 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 |
| Improving Generalization by Controlling Label-Noise Information in Neural Network Weights | Feb 19, 2020 | Data AugmentationGeneralization Bounds | CodeCode Available | 1 | 5 |
| Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning | Dec 22, 2020 | Generalization BoundsLanguage Modeling | CodeCode Available | 1 | 5 |
| Bridging Theory and Algorithm for Domain Adaptation | Apr 11, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 1 | 5 |
| Deep Learning and the Information Bottleneck Principle | Mar 9, 2015 | Deep LearningGeneralization Bounds | CodeCode Available | 1 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
