M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

26 December 2023

Shiming Ge

Papers citing "M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy"

20 / 20 papers shown

Title
Enhancing Dataset Distillation via Non-Critical Region Refinement Minh-Tuan Tran Trung Le Xuan-May Le Thanh-Toan Do Dinh Q. Phung DD 62 0 0 24 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 50 0 0 19 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Z. Liu Chenghao Sun Xuming Hu Conghui He L. Zhang DD 36 2 0 28 Feb 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 54 7 0 20 Jan 2025
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 80 0 0 22 Dec 2024
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 69 1 0 06 Dec 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang Zekai Li Zhi-Qi Cheng Samir Khaki A. Sajedi Ramakrishna Vedantam Konstantinos N. Plataniotis Alexander G. Hauptmann Yang You DD 62 4 0 22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao Yang He DD 16 5 0 21 Oct 2024
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen FedML DD 25 2 0 02 Sep 2024
FYI: Flip Your Images for Dataset Distillation Byunggwan Son Youngmin Oh Donghyeon Baek Bumsub Ham DD 27 3 0 11 Jul 2024
Mitigating Bias in Dataset Distillation Justin Cui Ruochen Wang Yuanhao Xiong Cho-Jui Hsieh DD 21 1 0 06 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 21 4 0 03 Jun 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 23 3 0 02 May 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 56 7 0 15 Mar 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations Hansong Zhang Shikun Li Dan Zeng Chenggang Yan Shiming Ge 17 13 0 12 Dec 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 85 44 0 02 May 2023
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 64 95 0 21 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 Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 132 106 0 19 May 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 183 219 0 16 Feb 2021