| Reinforcement Learning for Generative AI: A Survey | Aug 28, 2023 | Inductive BiasLanguage Modelling | —Unverified | 0 | 0 |
| Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning | Dec 10, 2022 | Inductive BiasObject | —Unverified | 0 | 0 |
| Relating graph auto-encoders to linear models | Nov 3, 2022 | Inductive Bias | —Unverified | 0 | 0 |
| Relational inductive bias for physical construction in humans and machines | Jun 4, 2018 | Deep Reinforcement LearningInductive Bias | —Unverified | 0 | 0 |
| Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling | Mar 10, 2021 | Inductive BiasLanguage Modelling | —Unverified | 0 | 0 |
| Relaxed Equivariance via Multitask Learning | Oct 23, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| Remixers: A Mixer-Transformer Architecture with Compositional Operators for Natural Language Understanding | Sep 17, 2021 | Inductive BiasNatural Language Understanding | —Unverified | 0 | 0 |
| REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics | May 5, 2022 | Inductive Bias | —Unverified | 0 | 0 |
| Representational Alignment with Chemical Induced Fit for Molecular Relational Learning | Feb 7, 2025 | Inductive BiasRelational Reasoning | —Unverified | 0 | 0 |
| Repurposing Decoder-Transformer Language Models for Abstractive Summarization | Sep 1, 2019 | Abstractive Text SummarizationDecoder | —Unverified | 0 | 0 |
