Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory

26 May 2025

Papers citing "Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory"

25 / 25 papers shown

Title
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 47 5 0 16 Aug 2024
Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 52 6 0 26 Apr 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 63 16 0 06 Mar 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 87 7 0 29 Jan 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia Saeed Vahidian Jingwei Sun Jianyi Zhang Vyacheslav Kungurtsev Neil Zhenqiang Gong Yiran Chen FedML DD 50 7 0 03 Dec 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 57 31 0 27 Nov 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie Lewei Yao Han Shi Zhili Liu Daquan Zhou Zhaoqiang Liu Jiawei Li Zhenguo Li 42 78 0 13 Apr 2023
DiM: Distilling Dataset into Generative Model Kai Wang Jianyang Gu Daquan Zhou Zheng Hua Zhu Wei Jiang Yang You DD 73 43 0 08 Mar 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 66 91 0 13 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 56 2,182 0 19 Dec 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 42 42 0 29 Sep 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 70 21 0 29 Sep 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 457 167 0 30 May 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 77 77 0 15 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 149 381 0 22 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 222 15,081 0 20 Dec 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 41 297 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 72 233 0 27 Jul 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 120 54 0 07 Apr 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 109 242 0 30 Oct 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 100 489 0 10 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 138 10,591 0 17 Feb 2020
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 55 295 0 27 Nov 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 30 1,125 0 25 Apr 2018
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015