| Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models | Dec 27, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | CodeCode Available | 0 |
| Model Compression for Domain Adaptation through Causal Effect Estimation | Jan 18, 2021 | Domain AdaptationModel Compression | CodeCode Available | 0 |
| Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity | May 23, 2022 | One-Shot LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Learning Transductions and Alignments with RNN Seq2seq Models | Mar 13, 2023 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Learning Invariant Visual Representations for Compositional Zero-Shot Learning | Jun 1, 2022 | AttributeCompositional Zero-Shot Learning | CodeCode Available | 0 |
| Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation | Oct 2, 2024 | Meta-LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| AHA: Human-Assisted Out-of-Distribution Generalization and Detection | Oct 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI | Oct 12, 2021 | Few-Shot LearningFew-Shot NLI | CodeCode Available | 0 |
| Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation | Nov 26, 2019 | Activity RecognitionAttribute | CodeCode Available | 0 |
| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 |
