| Differentiable Cluster Graph Neural Network | May 25, 2024 | ClusteringGraph Neural Network | —Unverified | 0 | 0 |
| Differentiable programming across the PDE and Machine Learning barrier | Sep 9, 2024 | Code GenerationInductive Bias | —Unverified | 0 | 0 |
| Differentiable Robust LQR Layers | Jun 10, 2021 | Imitation LearningInductive Bias | —Unverified | 0 | 0 |
| Differential Information: An Information-Theoretic Perspective on Preference Optimization | May 29, 2025 | Inductive BiasInstruction Following | —Unverified | 0 | 0 |
| Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement | Feb 15, 2024 | DisentanglementImage Reconstruction | —Unverified | 0 | 0 |
| Directed Acyclic Graph Convolutional Networks | Jun 13, 2025 | Causal InferenceComputational Efficiency | —Unverified | 0 | 0 |
| Discovering Abstract Symbolic Relations by Learning Unitary Group Representations | Feb 26, 2024 | Inductive BiasMatrix Completion | —Unverified | 0 | 0 |
| Disentangled Relational Representations for Explaining and Learning from Demonstration | Jul 31, 2019 | Inductive Bias | —Unverified | 0 | 0 |
| Disentangling A Single MR Modality | May 10, 2022 | AnatomyDisentanglement | —Unverified | 0 | 0 |
| Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models | Oct 31, 2024 | AttributeDenoising | —Unverified | 0 | 0 |
