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| Deep Concept Removal | Oct 9, 2023 | AttributeOut-of-Distribution Generalization | —Unverified | 0 |
| Automated Text Identification Using CNN and Training Dynamics | May 18, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers | Dec 1, 2021 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Label Augmentation for Neural Networks Robustness | Aug 4, 2024 | Adversarial RobustnessData Augmentation | —Unverified | 0 |
| Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations | Jun 9, 2025 | Data AugmentationDomain Generalization | —Unverified | 0 |
| Data Distributional Properties As Inductive Bias for Systematic Generalization | Jan 1, 2025 | DiversityInductive Bias | —Unverified | 0 |
| Invariant Causal Representation Learning | Jan 1, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields | Jan 22, 2025 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance | Feb 25, 2023 | Load ForecastingOut-of-Distribution Generalization | —Unverified | 0 |
| Curriculum in Gradient-Based Meta-Reinforcement Learning | Feb 19, 2020 | BenchmarkingMeta-Learning | —Unverified | 0 |
| An Effective Anti-Aliasing Approach for Residual Networks | Nov 20, 2020 | Few-Shot Learningimage-classification | —Unverified | 0 |
| Modular Action Concept Grounding in Semantic Video Prediction | Nov 23, 2020 | Action RecognitionMixture-of-Experts | —Unverified | 0 |
| Covariate Shift in High-Dimensional Random Feature Regression | Nov 16, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Increasing Robustness to Spurious Correlations using Forgettable Examples | Nov 16, 2020 | Out-of-Distribution GeneralizationQQP | —Unverified | 0 |
| A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View | Sep 15, 2024 | FairnessOut-of-Distribution Generalization | —Unverified | 0 |
| A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization | Sep 27, 2024 | Out-of-Distribution GeneralizationUncertainty Quantification | —Unverified | 0 |
| Generalizing to Unseen Domains: A Survey on Domain Generalization | Mar 2, 2021 | Domain GeneralizationOut-of-Distribution Generalization | —Unverified | 0 |
| Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric | Mar 23, 2023 | Out-of-Distribution GeneralizationQuantum Machine Learning | —Unverified | 0 |
| Generative RLHF-V: Learning Principles from Multi-modal Human Preference | May 24, 2025 | BlockingOut-of-Distribution Generalization | —Unverified | 0 |
| Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries | Dec 31, 2024 | BenchmarkingOut-of-Distribution Generalization | —Unverified | 0 |
| A Survey on Evaluation of Out-of-Distribution Generalization | Mar 4, 2024 | Out-of-Distribution GeneralizationSurvey | —Unverified | 0 |
| Global Intervention and Distillation for Federated Out-of-Distribution Generalization | Apr 1, 2025 | AttributeData Augmentation | —Unverified | 0 |
| Invariant Causal Representation Learning for Out-of-Distribution Generalization | Sep 29, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| Invariant Representations in Deep Learning for Optoacoustic Imaging | Apr 29, 2023 | Deep LearningImage Reconstruction | —Unverified | 0 |