Accelerating Dataset Distillation via Model Augmentation

12 December 2022

Lei Zhang

Caiwen Ding

Dongkuan Xu

Papers citing "Accelerating Dataset Distillation via Model Augmentation"

50 / 53 papers shown

Title
Leveraging Multi-Modal Information to Enhance Dataset Distillation Zhe Li Hadrien Reynaud Bernhard Kainz DD 35 0 0 13 May 2025
Video Dataset Condensation with Diffusion Models Zhe Li Hadrien Reynaud Mischa Dombrowski Sarah Cechnicka Franciskus Xaverius Erick Bernhard Kainz DD VGen 42 0 0 10 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 37 0 0 10 May 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning Mingchuan Ma Yuhao Zhou Jindi Lv Yuxin Tian Dan Si Shujian Li Qing Ye Jiancheng Lv CLL 28 0 0 14 Apr 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 75 0 0 03 Mar 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 80 0 0 18 Feb 2025
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 88 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
A CLIP-Powered Framework for Robust and Generalizable Data Selection S. M. I. Simon X. Yang Peng Ye Wanli Ouyang Dongzhan Zhou F. Shen 27 1 0 15 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 26 4 0 10 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du Xin Zhang Juncheng Hu Wenxin Huang Joey Tianyi Zhou DD 31 6 0 26 Sep 2024
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 30 2 0 24 Sep 2024
Data-Efficient Generation for Dataset Distillation Zhe Li Weitong Zhang Sarah Cechnicka Bernhard Kainz DD 32 0 0 05 Sep 2024
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu M. Pagnucco Shiliang Zhang Yang Song DD 28 0 0 19 Aug 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 23 10 0 19 Jul 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 32 2 0 15 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 37 4 0 09 Jul 2024
Low-Rank Similarity Mining for Multimodal Dataset Distillation Yue Xu Zhilin Lin Yusong Qiu Cewu Lu Yong-Lu Li DD 41 3 0 06 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 37 3 0 04 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 29 4 0 03 Jun 2024
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun Yi Jiang Tao Lin DD 36 0 0 23 May 2024
Exploring the Impact of Dataset Bias on Dataset Distillation Yao Lu Jianyang Gu Xuguang Chen Saeed Vahidian Qi Xuan DD 38 3 0 24 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 52 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 55 5 0 12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 38 3 0 11 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Joey Tianyi Zhou Ivor Tsang AI4CE DD 31 11 0 10 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 28 23 0 07 Feb 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 15 37 0 06 Dec 2023
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao Zeyuan Yin Muxin Zhou Xindong Zhang Zhiqiang Shen DD 23 21 0 29 Nov 2023
Dataset Distillation in Latent Space Yuxuan Duan Jianfu Zhang Liqing Zhang DD 35 6 0 27 Nov 2023
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 34 9 0 15 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 32 5 0 13 Nov 2023
Sequential Subset Matching for Dataset Distillation Jiawei Du Qin Shi Joey Tianyi Zhou DD 29 27 0 02 Nov 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Joey Tianyi Zhou 28 14 0 21 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 10 10 0 20 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 24 61 0 09 Oct 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 22 36 0 25 Sep 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Xiaoru Xie Hongwu Peng Amit Hasan Shaoyi Huang Jiahui Zhao Haowen Fang Wei Zhang Tong Geng O. Khan Caiwen Ding GNN 28 30 0 22 Aug 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 32 38 0 20 Aug 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 11 15 0 24 Jul 2023
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment Hongwu Peng Shangli Zhou Yukui Luo Nuo Xu Shijin Duan ... Chenghong Wang Tong Geng Wujie Wen Xiaolin Xu Caiwen Ding 17 8 0 27 Jun 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 46 0 0 29 May 2023
Bayesian Pseudo-Coresets via Contrastive Divergence Piyush Tiwary Kumar Shubham V. Kashyap Prathosh A.P. 21 3 0 20 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 35 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick 25 6 0 09 Jan 2023
Similarity of Neural Architectures using Adversarial Attack Transferability Jaehui Hwang Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 22 1 0 20 Oct 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 69 45 0 28 Jun 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 378 158 0 30 May 2022