Dataset Condensation via Efficient Synthetic-Data Parameterization

30 May 2022

Papers citing "Dataset Condensation via Efficient Synthetic-Data Parameterization"

42 / 42 papers shown

Title
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Mingzhuo Li Guang Li Jiafeng Mao Takahiro Ogawa Miki Haseyama DD 7 0 0 26 May 2025
CONCORD: Concept-Informed Diffusion for Dataset Distillation Jianyang Gu Haonan Wang Ruoxi Jia Saeed Vahidian Vyacheslav Kungurtsev Wei Jiang Yiran Chen DiffM DD 62 0 0 23 May 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 104 2 0 13 Mar 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 74 9 0 20 Jan 2025
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Mingliang Xu Yuyao Zhou Yuxin Zhang Shen Li Yong Li Rongrong Ji Zhanpeng Zeng Rongrong Ji MQ 123 0 0 31 Dec 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 109 2 0 03 Oct 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 57 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 75 2 0 13 Aug 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 63 4 0 26 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 122 12 0 15 Jun 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 67 3 0 02 May 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 48 6 0 07 Feb 2024
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 62 0 0 29 May 2023
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 111 377 0 22 Mar 2022
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 35 293 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 56 233 0 27 Jul 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 275 651 0 21 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 54 327 0 31 Mar 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 228 298 0 16 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 215 179 0 05 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 55 39,900 0 22 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 30 386 0 15 Sep 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 66 2,504 0 17 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 68 486 0 10 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 225 40,957 0 28 May 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 19 156 0 17 Dec 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 50 133 0 06 Oct 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 105 2,380 0 13 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 23 17,871 0 28 May 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 502 4,728 0 13 May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 61 720 0 12 Dec 2018
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length Stanislaw Jastrzebski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey ODL 25 115 0 13 Jul 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 25 1,590 0 09 Apr 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 58 2,851 0 21 Feb 2018
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks Yanzhe Zhang Mohammad Pezeshki Philemon Brakel Saizheng Zhang Yoshua Bengio Aaron Courville 27 367 0 10 Jan 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 63 3,694 0 23 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 320 5,346 0 05 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 406 36,530 0 25 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network Chao Dong Chen Change Loy Xiaoou Tang SupR 94 2,964 0 01 Aug 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 169 4,350 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 660 192,387 0 10 Dec 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 84 941 0 11 Feb 2015