dataset distillation

Generalizing Dataset Distillation via Deep Generative Prior CVPR 2023 Label Poisoning is All You Need NeurIPS 2023 MGDD: A Meta Generator for Fast Dataset Distillation NeurIPS 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation NeurIPS 2023 Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation CVPR 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory ICML 2023 Sequential Subset Matching for Dataset Distillation NeurIPS 2023 Sparse Parameterization for Epitomic Dataset Distillation NeurIPS 2023 Dataset Distillation by Matching Training Trajectories CVPR 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Dataset Distillation via Factorization NeurIPS 2022 Efficient Dataset Distillation using Random Feature Approximation NeurIPS 2022 On Divergence Measures for Bayesian Pseudocoresets NeurIPS 2022 On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives CVPR 2022 Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NeurIPS 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Dataset Distillation with Infinitely Wide Convolutional Networks NeurIPS 2021 Dataset Meta-Learning from Kernel Ridge-Regression ICLR 2021