dataset distillation

An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI 2026 Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution CVPR 2026 Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching CVPR 2026 Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation AAAI 2026 CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 Dataset Distillation by Influence Matching CVPR 2026 DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models CVPR 2026 DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data AAAI 2026 EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training AAAI 2026 EVLF: Early Vision-Language Fusion for Generative Dataset Distillation CVPR 2026 Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation CVPR 2026 Grid Distillation: Compositional Image Distillation via Structured Generative Grids CVPR 2026 Harmonic Dataset Distillation for Time Series Forecasting AAAI 2026 HierAmp: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation CVPR 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation CVPR 2026 Learnability-Guided Diffusion for Dataset Distillation CVPR 2026 ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation CVPR 2026 Mitigating The Distribution Shift of Diffusion-based Dataset Distillation CVPR 2026 Multimodal Distribution Matching for Vision-Language Dataset Distillation CVPR 2026 Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access AAAI 2026 Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026 Rethinking Dataset Distillation: Hard Truths about Soft Labels CVPR 2026 Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling AAAI 2026 TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026