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Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective

22 June 2023

Zeyuan Yin

Eric P. Xing

Zhiqiang Shen

ArXiv (abs)PDF HTML Github (128★)

Papers citing "Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective"

31 / 31 papers shown

Title
CONCORD: Concept-Informed Diffusion for Dataset Distillation Jianyang Gu Haonan Wang Ruoxi Jia Saeed Vahidian Vyacheslav Kungurtsev Wei Jiang Yiran Chen DiffM DD 922 0 0 23 May 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 250 0 0 23 May 2025
Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao Yushu Wu Xinru Jiang Jianyang Gu Yanzhi Wang Xiaolin Xu Pu Zhao Xue Lin DD 264 0 0 23 May 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 146 3 0 13 Mar 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 135 10 0 20 Jan 2025
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 135 5 0 22 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 173 2 0 03 Oct 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 96 3 0 24 Aug 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 125 2 0 13 Aug 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 167 13 0 15 Jun 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 125 8 0 15 Mar 2024
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 88 78 0 11 Jan 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 100 143 0 19 Nov 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 86 159 0 01 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 502 168 0 30 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 185 395 0 22 Mar 2022
A Fast Knowledge Distillation Framework for Visual Recognition Zhiqiang Shen Eric P. Xing VLM 93 49 0 02 Dec 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 308 0 08 Oct 2021
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 84 569 0 18 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 182 2,409 0 13 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,809 0 13 May 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 293 1,421 0 04 Dec 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 94 297 0 27 Nov 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,811 0 25 Oct 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 173 649 0 27 Jul 2017
Practical Coreset Constructions for Machine Learning Olivier Bachem Mario Lucic Andreas Krause 67 186 0 19 Mar 2017
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 220 1,595 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,968 0 26 Nov 2014