Color-Oriented Redundancy Reduction in Dataset Distillation
Authors: Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | A comprehensive performance study involving various datasets and evaluation scenarios is conducted, demonstrating the superior performance of our proposed color-aware DD compared to existing DD methods. |
| Researcher Affiliation | Academia | Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang {bowen.yuan, zijian.wang, m.baktashmotlagh, y.luo, helen.huang}@uq.edu.au The University of Queensland |
| Pseudocode | Yes | Algorithm 1: Algorithm for guided image selection with maximum information gain. |
| Open Source Code | Yes | The code is available at https://github.com/Ke Vi NYu An0314/Auto Palette. |
| Open Datasets | Yes | We conduct experiments of our model on various benchmark datasets, including CIFAR-10 [21], CIFAR-100 [21] and Image Net [7]. CIFAR10: an image dataset consists of 50,000 32 32 RGB images for training, and 10,000 images for testing. |
| Dataset Splits | No | The paper does not explicitly provide training/validation/test dataset splits, only mentioning training and testing sets for CIFAR10 and total image counts for CIFAR100. |
| Hardware Specification | Yes | All experiments can be conducted on 2 Nvidia H100 GPUs that have 80GB RAM for each or 4 Nvidia V100 GPUs that have 32GB RAM for each. |
| Software Dependencies | No | The paper does not provide specific version numbers for software dependencies such as libraries, frameworks, or compilers used in the experiments. |
| Experiment Setup | Yes | We set loss coefficients α=1, β=1, γ=3 for all experiments if not specified. Table 9: Hyperparameters for our method based on Distribution matching (DM) framework. Table 10: Hyperparameters for our method based on Trajectory matching (TM) framework. These tables provide specific hyperparameters. |