PSM: Dataset Distillation Based on Precise Statistical Matching by Difficulty

arXiv:2609.34299 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/Guang000/Awesome-Dataset-Distillation

Terminology

• Distillation — 85× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Batch Normalization — 9× in this paper
• Generalization — 9× in this paper · explained in 13 episodes
• Computer Vision and Pattern Recognition — 8× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• International Conference on Machine Learning — 6× in this paper
• Precise Statistical Matching — 6× in this paper
• Distribution Matching — 5× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 4× in this paper
• Global Precision Score — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Initial Sample Screening — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Statistics Updated Again — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Initial Data — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Dataset Distillation via Adversarial Prediction Matching
• Dataset Distillation via Committee Voting
• Decoupled Audio-Visual Dataset Distillation
• The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions
• Dataset Distillation

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