Flexible Dataset Distillation: Learn Labels Instead of Images

15 June 2020

Papers citing "Flexible Dataset Distillation: Learn Labels Instead of Images"

33 / 33 papers shown

Title
Transferable text data distillation by trajectory matching Rong Yao Hailin Hu Yifei Fu Hanting Chen Wenyi Fang Fanyi Du Kai Han Yunhe Wang 28 0 0 14 Apr 2025
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 40 4 0 10 Oct 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 94 10 0 15 Jun 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 53 2 0 23 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 50 3 0 02 May 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 49 10 0 30 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 40 5 0 20 Mar 2024
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 35 1 0 16 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
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
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 50 12 0 28 May 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 28 9 0 09 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 36 88 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Heng Chang Dongkuan Xu DD 43 62 0 12 Dec 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 34 129 0 19 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 132 141 0 30 Oct 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 53 151 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 24 113 0 01 Jun 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 37 75 0 15 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 78 366 0 22 Mar 2022
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image Yuki M. Asano Aaqib Saeed 43 7 0 01 Dec 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 27 148 0 14 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 51 229 0 27 Jul 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
Data Distillation for Text Classification Yongqi Li Wenjie Li DD 19 28 0 17 Apr 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 240 0 30 Oct 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 36 472 0 10 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 79 1,935 0 11 Apr 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017