| How Graph Neural Networks Learn: Lessons from Training Dynamics | Oct 8, 2023 | Inductive Bias | CodeCode Available | 1 | 5 |
| G-Transformer for Document-level Machine Translation | May 31, 2021 | Document Level Machine TranslationInductive Bias | CodeCode Available | 1 | 5 |
| Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning | Jul 23, 2022 | Inductive BiasNetHack | CodeCode Available | 1 | 5 |
| Hierarchical Phrase-based Sequence-to-Sequence Learning | Nov 15, 2022 | Inductive BiasMachine Translation | CodeCode Available | 1 | 5 |
| Hierarchical Separable Video Transformer for Snapshot Compressive Imaging | Jul 16, 2024 | Inductive BiasLong-range modeling | CodeCode Available | 1 | 5 |
| Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers | Apr 1, 2023 | Inductive BiasMathematical Problem-Solving | CodeCode Available | 1 | 5 |
| Approximately Equivariant Networks for Imperfectly Symmetric Dynamics | Jan 28, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Learning where to learn: Gradient sparsity in meta and continual learning | Oct 27, 2021 | Continual LearningInductive Bias | CodeCode Available | 1 | 5 |
| DRew: Dynamically Rewired Message Passing with Delay | May 13, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| LightViT: Towards Light-Weight Convolution-Free Vision Transformers | Jul 12, 2022 | GPUimage-classification | CodeCode Available | 1 | 5 |
