Dataset Distillation with Infinitely Wide Convolutional Networks

27 July 2021

Papers citing "Dataset Distillation with Infinitely Wide Convolutional Networks"

50 / 161 papers shown

Title
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 64 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 69 5 0 12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 40 3 0 11 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 36 11 0 10 Mar 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 54 12 0 06 Mar 2024
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance Indu Panigrahi Richard Zhu 32 1 0 28 Feb 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 34 23 0 07 Feb 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 33 6 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Fan Zhang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 28 6 0 29 Jan 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 74 40 0 29 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning Shangmin Guo Yi Ren Stefano V.Albrecht Kenny Smith 34 3 0 16 Jan 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
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems Kamil Kanclerz Julita Bielaniewicz Marcin Gruza Jan Kocoñ Stanislaw Wo'zniak Przemyslaw Kazienko 26 3 0 13 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study Lirui Zhao Yu-xin Zhang Rongrong Ji Rongrong Ji 32 1 0 09 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 34 3 0 01 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 39 8 0 01 Dec 2023
Discovering Galaxy Features via Dataset Distillation Haowen Guan Xuan Zhao Zishi Wang Zhiyang Li Julia Kempe DD 26 2 0 29 Nov 2023
Dataset Distillation in Latent Space Yuxuan Duan Jianfu Zhang Liqing Zhang DD 45 6 0 27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 39 27 0 27 Nov 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 35 19 0 15 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 36 5 0 13 Nov 2023
Sequential Subset Matching for Dataset Distillation Jiawei Du Qin Shi Qiufeng Wang DD 33 27 0 02 Nov 2023
Label Poisoning is All You Need Rishi Jha J. Hayase Sewoong Oh AAML 22 28 0 29 Oct 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim Hyungi Lee Juho Lee BDL 29 2 0 27 Oct 2023
Unraveling Feature Extraction Mechanisms in Neural Networks Xiaobing Sun Jiaxi Li Wei Lu 20 0 0 25 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Qiufeng Wang 37 14 0 21 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 29 1 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 21 3 0 15 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 0 13 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation Haizhong Zheng Jiachen Sun Shutong Wu B. Kailkhura Zhuoqing Mao Chaowei Xiao Atul Prakash DD 24 2 0 11 Oct 2023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality Xuxi Chen Yu Yang Zhangyang Wang Baharan Mirzasoleiman DD 26 12 0 10 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee Seanie Lee Joonho Ko Kenji Kawaguchi Juho Lee Sung Ju Hwang DD 52 3 0 10 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 32 62 0 09 Oct 2023
Can pre-trained models assist in dataset distillation? Yao Lu Xuguang Chen Yuchen Zhang Jianyang Gu Tianle Zhang Yifan Zhang Xiaoniu Yang Qi Xuan Kai Wang Yang You DD 37 10 0 05 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 59 0 29 Sep 2023
Dataset Condensation via Generative Model David Junhao Zhang Heng Wang Chuhui Xue Rui Yan Wenqing Zhang Song Bai Mike Zheng Shou DD 26 11 0 14 Sep 2023
Never-ending Learning of User Interfaces Jason Wu Rebecca Krosnick E. Schoop Amanda Swearngin Jeffrey P. Bigham Jeffrey Nichols VLM HAI 13 15 0 17 Aug 2023
Vision-Language Dataset Distillation Xindi Wu Byron Zhang Zhiwei Deng Olga Russakovsky DD VLM 33 8 0 15 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 23 15 0 24 Jul 2023
Improved Distribution Matching for Dataset Condensation Ganlong Zhao Guanbin Li Yipeng Qin Yizhou Yu DD 23 80 0 19 Jul 2023
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 37 14 0 18 Jul 2023
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 37 4 0 16 Jul 2023
Kernels, Data & Physics Francesco Cagnetta Deborah Oliveira Mahalakshmi Sabanayagam Nikolaos Tsilivis Julia Kempe 25 0 0 05 Jul 2023
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning Tamas Madl Weijie Xu Olivia Choudhury Matthew Howard 26 5 0 04 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 20 63 0 22 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 41 59 0 05 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 53 0 0 29 May 2023