Dataset Distillation using Neural Feature Regression

1 June 2022

Jimmy Ba

Papers citing "Dataset Distillation using Neural Feature Regression"

50 / 114 papers shown

Title
Coreset Selection for Object Detection Hojun Lee Suyoung Kim Junhoo Lee Jaeyoung Yoo Nojun Kwak 38 4 0 14 Apr 2024
Exploring the Impact of Dataset Bias on Dataset Distillation Yao Lu Jianyang Gu Xuguang Chen Saeed Vahidian Qi Xuan DD 43 3 0 24 Mar 2024
Distilling Datasets Into Less Than One Image Asaf Shul Eliahu Horwitz Yedid Hoshen DD 37 2 0 18 Mar 2024
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
Multisize Dataset Condensation Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 36 11 0 10 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 98 4 0 01 Mar 2024
Improve Cross-Architecture Generalization on Dataset Distillation Binglin Zhou Linhao Zhong Wentao Chen DD 39 4 0 20 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Keli Zhang Xavier Bresson Wei Jin Yang You 37 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 41 6 0 07 Feb 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 28 6 0 29 Jan 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 40 14 0 27 Dec 2023
Dataset Distillation via Adversarial Prediction Matching Mingyang Chen Bo Huang Junda Lu Bing Li Yi Wang Minhao Cheng Wei Wang DD 18 5 0 14 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 29 3 0 13 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 25 37 0 06 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 41 8 0 01 Dec 2023
Dataset Distillation via the Wasserstein Metric Haoyang Liu Yijiang Li Tiancheng Xing Vibhu Dalal Luwei Li Jingrui He Haohan Wang DD 51 12 0 30 Nov 2023
Discovering Galaxy Features via Dataset Distillation Haowen Guan Xuan Zhao Zishi Wang Zhiyang Li Julia Kempe DD 26 2 0 29 Nov 2023
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao Zeyuan Yin Muxin Zhou Xindong Zhang Zhiqiang Shen DD 31 21 0 29 Nov 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 44 6 0 28 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 28 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 36 27 0 02 Nov 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim Hyungi Lee Juho Lee BDL 29 2 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 38 1 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 33 1 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 23 3 0 15 Oct 2023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality Xuxi Chen Yu Yang Zhangyang Wang Baharan Mirzasoleiman DD 31 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 64 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
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 31 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
Distilled Pruning: Using Synthetic Data to Win the Lottery Luke McDermott Daniel Cummings SyDa DD 34 1 0 07 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 22 65 0 22 Jun 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization Chen Fan Gaspard Choné-Ducasse Mark W. Schmidt Christos Thrampoulidis 24 3 0 30 May 2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection Yue Xu Yong-Lu Li Kaitong Cui Ziyu Wang Cewu Lu Yu-Wing Tai Chi-Keung Tang DD 35 8 0 28 May 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 34 4 0 23 May 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Zongxiong Chen Jiahui Geng Derui Zhu Herbert Woisetschlaeger Qing Li Sonja Schimmler Ruben Mayer Chunming Rong DD 26 9 0 05 May 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 62 26 0 03 May 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 96 84 0 02 May 2023
Bayesian Pseudo-Coresets via Contrastive Divergence Piyush Tiwary Kumar Shubham V. Kashyap Prathosh A.P. 21 3 0 20 Mar 2023