| Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases | Feb 13, 2024 | DenoisingInductive Bias | CodeCode Available | 1 |
| Container: Context Aggregation Network | Jun 2, 2021 | Image ClassificationInductive Bias | CodeCode Available | 1 |
| Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models | Feb 12, 2021 | Contact mechanicsFriction | CodeCode Available | 1 |
| Are Sparse Autoencoders Useful? A Case Study in Sparse Probing | Feb 23, 2025 | Inductive BiasLarge Language Model | CodeCode Available | 1 |
| A Generalization of Transformer Networks to Graphs | Dec 17, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 |
| An Investigation of Why Overparameterization Exacerbates Spurious Correlations | May 9, 2020 | Inductive Bias | CodeCode Available | 1 |
| Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning | Feb 4, 2024 | Inductive Bias | CodeCode Available | 1 |
| Distribution inference risks: Identifying and mitigating sources of leakage | Sep 18, 2022 | Inductive Bias | CodeCode Available | 1 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Container: Context Aggregation Networks | Dec 1, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 |
