dataset distillation

Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024 GSDD: Generative Space Dataset Distillation for Image Super-resolution AAAI 2024 Large Scale Dataset Distillation with Domain Shift ICML 2024 Low-Rank Similarity Mining for Multimodal Dataset Distillation ICML 2024 Offline Behavior Distillation NeurIPS 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning ICLR 2024 Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective ICLR 2024 Self-Supervised Dataset Distillation for Transfer Learning ICLR 2024 SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching ICML 2024 Textual Dataset Distillation via Language Model Embedding EMNLP 2024 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ICLR 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 What is Dataset Distillation Learning? ICML 2024 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 A Survey on Dataset Distillation: Approaches, Applications and Future Directions IJCAI 2023 Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key AAAI 2023 DataDAM: Efficient Dataset Distillation with Attention Matching ICCV 2023 Dataset Distillation with Attention Labels for Fine-tuning BERT ACL 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 Dataset Quantization ICCV 2023 DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023 Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023 Frequency Domain-Based Dataset Distillation NeurIPS 2023