NCFM

NCFM: Dataset Distillation with Neural Characteristic Function

Overview NCFM is the official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" presented at CVPR 2025. This method focuses on dataset distillation, allowing for efficient model training with fewer data samples.

Key Features:

• PyTorch Implementation: Provides a robust framework for researchers and developers.
• Minmax Perspective: Unique approach to dataset distillation that optimizes data usage.
• Comprehensive Documentation: Step-by-step guide for installation, pretraining, and evaluation.

Benefits:

• Enables quicker experimentation and model development with reduced datasets.
• Facilitates state-of-the-art results in machine learning tasks using fewer resources.

Getting Started:

1. Clone the repository: git clone https://github.com/gszfwsb/NCFM.git
2. Install dependencies: pip install -r requirements.txt
3. Follow the provided examples for CIFAR-10 and CIFAR-100.