| The Ideal Continual Learner: An Agent That Never Forgets | Apr 29, 2023 | Continual LearningGeneralization Bounds | CodeCode Available | 4 |
| Non-IID Transfer Learning on Graphs | Dec 15, 2022 | Generalization BoundsGRAPH DOMAIN ADAPTATION | CodeCode Available | 1 |
| Bridging Theory and Algorithm for Domain Adaptation | Apr 11, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 1 |
| Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion | Feb 9, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Measuring Generalization with Optimal Transport | Jun 7, 2021 | Generalization Bounds | CodeCode Available | 1 |
| NICO++: Towards Better Benchmarking for Domain Generalization | Apr 17, 2022 | BenchmarkingDomain Generalization | CodeCode Available | 1 |
| Debiased Contrastive Learning | Jul 1, 2020 | Contrastive LearningGeneralization Bounds | CodeCode Available | 1 |
| Do Generated Data Always Help Contrastive Learning? | Mar 19, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis | Mar 4, 2021 | Deep LearningDomain Generalization | CodeCode Available | 1 |
| Generalization Guarantees for Imitation Learning | Aug 5, 2020 | Generalization BoundsImitation Learning | CodeCode Available | 1 |
| Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning | Dec 22, 2020 | Generalization BoundsLanguage Modeling | CodeCode Available | 1 |
| Learning to Warm-Start Fixed-Point Optimization Algorithms | Sep 14, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Minimax Classification with 0-1 Loss and Performance Guarantees | Oct 15, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Learning Robust State Abstractions for Hidden-Parameter Block MDPs | Jul 14, 2020 | Generalization BoundsMeta Reinforcement Learning | 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 |
| 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 |
| In Search of Robust Measures of Generalization | Oct 22, 2020 | Generalization Bounds | CodeCode Available | 1 |
| How Does Information Bottleneck Help Deep Learning? | May 30, 2023 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
