| 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 |
| Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs | May 30, 2025 | DisentanglementInductive Bias | —Unverified | 0 | 0 |
| Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel | Oct 18, 2022 | Decision MakingInductive Bias | —Unverified | 0 | 0 |
| Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression | Sep 30, 2023 | Inductive BiasKnowledge Distillation | —Unverified | 0 | 0 |
| Distilling Symbolic Priors for Concept Learning into Neural Networks | Feb 10, 2024 | Inductive BiasMeta-Learning | —Unverified | 0 | 0 |
| Distributed Representations of Words to Guide Bootstrapped Entity Classifiers | May 1, 2015 | Entity Extraction using GANInductive Bias | —Unverified | 0 | 0 |
| Diverse Projection Ensembles for Distributional Reinforcement Learning | Jun 12, 2023 | Distributional Reinforcement LearningDiversity | —Unverified | 0 | 0 |
| DMTNet: Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer | Sep 13, 2022 | DeblurringImage Defocus Deblurring | —Unverified | 0 | 0 |
| DNF-Net: A Neural Architecture for Tabular Data | Jun 11, 2020 | feature selectionInductive Bias | —Unverified | 0 | 0 |
| DocNet: Semantic Structure in Inductive Bias Detection Models | Jun 16, 2024 | ArticlesBias Detection | —Unverified | 0 | 0 |
| Do deep neural networks have an inbuilt Occam's razor? | Apr 13, 2023 | Inductive Bias | —Unverified | 0 | 0 |
| Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks | Jan 10, 2020 | Inductive Bias | —Unverified | 0 | 0 |
| Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy | Aug 24, 2023 | Inductive Bias | —Unverified | 0 | 0 |
| Do Quantum Neural Networks have Simplicity Bias? | Jul 3, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| Double Descent in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy | Nov 28, 2024 | Inductive BiasPortfolio Optimization | —Unverified | 0 | 0 |
| Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data | Nov 15, 2024 | Bayesian InferenceIn-Context Learning | —Unverified | 0 | 0 |