| 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 |
| Learning to Warm-Start Fixed-Point Optimization Algorithms | Sep 14, 2023 | Generalization Bounds | CodeCode Available | 1 | 5 |
| Measuring Generalization with Optimal Transport | Jun 7, 2021 | Generalization Bounds | CodeCode Available | 1 | 5 |
| Learning Robust State Abstractions for Hidden-Parameter Block MDPs | Jul 14, 2020 | Generalization BoundsMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| NICO++: Towards Better Benchmarking for Domain Generalization | Apr 17, 2022 | BenchmarkingDomain Generalization | CodeCode Available | 1 | 5 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 | 5 |
| Debiased Contrastive Learning | Jul 1, 2020 | Contrastive LearningGeneralization Bounds | CodeCode Available | 1 | 5 |
| On PAC-Bayesian Bounds for Random Forests | Oct 23, 2018 | Generalization 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 |
