| Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression | Sep 30, 2023 | Inductive BiasKnowledge Distillation | —Unverified | 0 |
| Body Transformer: Leveraging Robot Embodiment for Policy Learning | Aug 12, 2024 | Computational EfficiencyInductive Bias | —Unverified | 0 |
| A PAC-Bayesian Generalization Bound for Equivariant Networks | Oct 24, 2022 | Generalization BoundsInductive Bias | —Unverified | 0 |
| Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? | Sep 12, 2021 | Inductive BiasNode Classification | —Unverified | 0 |
| Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel | Oct 18, 2022 | Decision MakingInductive Bias | —Unverified | 0 |
| Blurring Diffusion Models | Sep 12, 2022 | DenoisingInductive Bias | —Unverified | 0 |
| A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency | Oct 19, 2022 | Inductive Bias | —Unverified | 0 |
| Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs | May 30, 2025 | DisentanglementInductive Bias | —Unverified | 0 |
| Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models | Oct 31, 2024 | AttributeDenoising | —Unverified | 0 |
| Interpretable Convolutional Filters with SincNet | Nov 23, 2018 | Distant Speech RecognitionInductive Bias | —Unverified | 0 |
