Soft-Label Dataset Distillation and Text Dataset Distillation

6 October 2019

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

44 / 94 papers shown

Title
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
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
Detecting the open-world objects with the help of the Brain Shuailei Ma Yuefeng Wang Ying-yu Wei Peihao Chen Zhixiang Ye Jiaqi Fan Enming Zhang Thomas H. Li VLM ObjD 24 2 0 21 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 31 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
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 40 110 0 20 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 21 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 L. Griffiths 27 12 0 02 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 129 141 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 74 96 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 32 40 0 29 Sep 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 42 20 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 28 62 0 24 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu David Z. Pan DD 20 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 50 82 0 20 Jul 2022
PRANC: Pseudo RAndom Networks for Compacting deep models Parsa Nooralinejad Ali Abbasi Soroush Abbasi Koohpayegani Kossar Pourahmadi Meibodi Rana Muhammad Shahroz Khan Soheil Kolouri Hamed Pirsiavash DD 37 0 0 16 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 41 92 0 06 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 24 113 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 401 158 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 155 106 0 19 May 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 37 74 0 15 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 78 363 0 22 Mar 2022
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation Dmitry Medvedev A. Dýakonov DD 6 9 0 16 Mar 2022
Can Humans Do Less-Than-One-Shot Learning? Maya Malaviya Ilia Sucholutsky Kerem Oktar Thomas L. Griffiths 24 7 0 09 Feb 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 8 53 0 31 Jan 2022
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 26 282 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 51 229 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 25 67 0 27 Jul 2021
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations W. Olin-Ammentorp M. Bazhenov GNN 14 4 0 15 Jun 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 37 51 0 07 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 205 288 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 13 6 0 15 Feb 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 240 0 30 Oct 2020
New Properties of the Data Distillation Method When Working With Tabular Data Dmitry Medvedev A. Dýakonov DD 16 9 0 19 Oct 2020
SecDD: Efficient and Secure Method for Remotely Training Neural Networks Ilia Sucholutsky Matthias Schonlau 14 15 0 19 Sep 2020
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples Ilia Sucholutsky Matthias Schonlau VLM 13 42 0 17 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 51 158 0 17 Sep 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 17 71 0 11 Aug 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 16 109 0 15 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 36 472 0 10 Jun 2020