GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost

23 May 2024

Papers citing "GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost"

5 / 5 papers shown

Title
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 83 44 0 02 May 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
Evaluating the Impact of Loss Function Variation in Deep Learning for Classification Simon Dräger Jannik Dunkelau 18 2 0 28 Oct 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 375 155 0 30 May 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 183 219 0 16 Feb 2021