dataset distillation

Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025 Influence-Guided Diffusion for Dataset Distillation ICLR 2025 Label Augmented Dataset Distillation WACV 2025 MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models ICML 2025 OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025 Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning ACML 2025 ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck ICML 2025 Taming Diffusion for Dataset Distillation with High Representativeness ICML 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation ICLR 2025 A Label is Worth A Thousand Images in Dataset Distillation NeurIPS 2024 Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? NeurIPS 2024 Behaviour Distillation ICLR 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024 Dataset Distillation by Automatic Training Trajectories ECCV 2024 Dataset-Distillation Generative Model for Speech Emotion Recognition Interspeech 2024 DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation NAACL 2024 Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NeurIPS 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Embarrassingly Simple Dataset Distillation ICLR 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024