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| Probing Predictions on OOD Images via Nearest Categories | Nov 17, 2020 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 |
| Insect Identification in the Wild: The AMI Dataset | Jun 18, 2024 | Data AugmentationDiversity | CodeCode Available | 0 |
| Towards out of distribution generalization for problems in mechanics | Jun 29, 2022 | Out-of-Distribution Generalizationregression | CodeCode Available | 0 |
| Offline Imitation Learning with Variational Counterfactual Reasoning | Oct 7, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| On Neural Architecture Inductive Biases for Relational Tasks | Jun 9, 2022 | Inductive BiasOut-of-Distribution Generalization | CodeCode Available | 0 |
| On Provable Length and Compositional Generalization | Feb 7, 2024 | DiversityOut-of-Distribution Generalization | CodeCode Available | 0 |
| Adversarial Invariant Learning | Jun 19, 2021 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering | Jul 24, 2021 | AttributeOut-of-Distribution Generalization | CodeCode Available | 0 |
| Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations | Nov 30, 2023 | AttributeOut-of-Distribution Generalization | CodeCode Available | 0 |
