Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation

16 March 2022

Papers citing "Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation"

5 / 5 papers shown

Title
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 51 10 0 30 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 40 5 0 20 Mar 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 27 22 0 26 Dec 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 35 1 0 16 Oct 2023
New Properties of the Data Distillation Method When Working With Tabular Data Dmitry Medvedev A. Dýakonov DD 16 9 0 19 Oct 2020