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| BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification | Aug 16, 2021 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
| Brain insights improve RNNs' accuracy and robustness for hierarchical control of continually learned autonomous motor motifs | Sep 29, 2021 | Continual LearningInductive Bias | —Unverified | 0 | 0 |
| Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift | Jun 2, 2024 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
| Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? | Jun 5, 2021 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
| Can Transformers Reason Logically? A Study in SAT Solving | Oct 9, 2024 | DecoderLogical Reasoning | —Unverified | 0 | 0 |
| Case-based Reasoning for Better Generalization in Textual Reinforcement Learning | Oct 16, 2021 | Deep Reinforcement LearningOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs | Nov 25, 2024 | Out-of-Distribution GeneralizationPrediction | —Unverified | 0 | 0 |
| Causal-aware Graph Neural Architecture Search under Distribution Shifts | May 26, 2024 | Graph EmbeddingNeural Architecture Search | —Unverified | 0 | 0 |
| Causality-based Dual-Contrastive Learning Framework for Domain Generalization | Jan 22, 2023 | Contrastive LearningDiversity | —Unverified | 0 | 0 |
