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Soft-Label Dataset Distillation and Text Dataset Distillation

6 October 2019

Papers citing "Soft-Label Dataset Distillation and Text Dataset Distillation"

50 / 54 papers shown

Title
Exploring Generalized Gait Recognition: Reducing Redundancy and Noise within Indoor and Outdoor Datasets Qian Zhou Xianda Guo Jilong Wang Chuanfu Shen Zhongyuan Wang Hua Zou Qin Zou Chao Liang Chen Long Gang Wu 108 0 0 21 May 2025
Transferable text data distillation by trajectory matching Rong Yao Hailin Hu Yifei Fu Hanting Chen Wenyi Fang Fanyi Du Kai Han Yunhe Wang 89 0 0 14 Apr 2025
Synthetic Text Generation for Training Large Language Models via Gradient Matching Dang Nguyen Zeman Li M. Bateni Vahab Mirrokni Meisam Razaviyayn Baharan Mirzasoleiman 104 2 0 24 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 115 0 0 23 Jan 2025
Quantifying Knowledge Distillation Using Partial Information Decomposition Pasan Dissanayake Faisal Hamman Barproda Halder Ilia Sucholutsky Qiuyi Zhang Sanghamitra Dutta 83 1 0 12 Nov 2024
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 150 6 0 22 Oct 2024
Applications of Knowledge Distillation in Remote Sensing: A Survey Yassine Himeur N. Aburaed O. Elharrouss Iraklis Varlamis Shadi Atalla W. Mansoor Hussain Al Ahmad 96 4 0 18 Sep 2024
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation Yi-Fen Chang Zhao Ren Zhonghao Zhao Thanh Tam Nguyen Kun Qian Tanja Schultz Björn W. Schuller 71 0 0 21 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 176 13 0 15 Jun 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 111 3 0 23 May 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 108 3 0 22 Apr 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 170 8 0 15 Mar 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia Saeed Vahidian Jingwei Sun Jianyi Zhang Vyacheslav Kungurtsev Neil Zhenqiang Gong Yiran Chen FedML DD 98 8 0 03 Dec 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 91 1 0 16 Oct 2023
Vision-Language Dataset Distillation Xindi Wu Byron Zhang Zhiwei Deng Olga Russakovsky DD VLM 88 10 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 89 16 0 24 Jul 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 136 0 0 29 May 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 163 132 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 106 93 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 110 78 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 Yongbin Li Dongkuan Xu DD 139 66 0 12 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 101 121 0 20 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 85 10 0 19 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 63 4 0 04 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 96 13 0 02 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 217 148 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 131 101 0 21 Oct 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 98 43 0 29 Sep 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 142 22 0 29 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 119 66 0 24 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu David Z. Pan DD 74 41 0 30 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 81 85 0 20 Jul 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 107 96 0 06 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 111 117 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 520 170 0 30 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 247 114 0 19 May 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 128 77 0 15 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 192 397 0 22 Mar 2022
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation Dmitry Medvedev A. Dýakonov DD 60 10 0 16 Mar 2022
Can Humans Do Less-Than-One-Shot Learning? Maya Malaviya Ilia Sucholutsky Kerem Oktar Thomas Griffiths 149 8 0 09 Feb 2022
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 82 310 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 109 237 0 27 Jul 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 58 70 0 27 Jul 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 150 55 0 07 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 273 305 0 16 Feb 2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes Ilia Sucholutsky Nam-Hwui Kim R. Browne Matthias Schonlau VLM 60 7 0 15 Feb 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 172 247 0 30 Oct 2020
New Properties of the Data Distillation Method When Working With Tabular Data Dmitry Medvedev A. Dýakonov DD 101 9 0 19 Oct 2020
SecDD: Efficient and Secure Method for Remotely Training Neural Networks Ilia Sucholutsky Matthias Schonlau 122 17 0 19 Sep 2020
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples Ilia Sucholutsky Matthias Schonlau VLM 121 43 0 17 Sep 2020