Dataset Distillation

27 November 2018

Tongzhou Wang

Jun-Yan Zhu

Antonio Torralba

Alexei A. Efros

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Papers citing "Dataset Distillation"

50 / 79 papers shown

Title
Video Dataset Condensation with Diffusion Models Zhe Li Hadrien Reynaud Mischa Dombrowski Sarah Cechnicka Franciskus Xaverius Erick Bernhard Kainz DD VGen 59 0 0 10 May 2025
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training Meng Xiao Xunxin Cai Chengrui Wang Yuanchun Zhou 50 0 0 28 Apr 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 59 8 0 20 Jan 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li Ge Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 57 0 0 08 Jan 2025
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 45 4 0 10 Oct 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon Jung Uk Kim Gyeong-Moon Park DD 40 1 0 22 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 51 2 0 22 Aug 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 61 0 0 03 Aug 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 47 2 0 15 Jul 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 99 12 0 15 Jun 2024
Dataset-Distillation Generative Model for Speech Emotion Recognition Fabian Ritter-Gutierrez Kuan Po Huang Jeremy H. M Wong Dianwen Ng Hung-yi Lee Nancy F. Chen Eng Siong Chng DD 49 0 0 05 Jun 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 45 5 0 20 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 46 0 0 18 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 66 8 0 15 Mar 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 93 6 0 18 Jan 2024
Efficiency-oriented approaches for self-supervised speech representation learning Luis Lugo Valentin Vielzeuf SSL 38 1 0 18 Dec 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 45 1 0 16 Oct 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 47 37 0 18 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 50 23 0 20 Jul 2023
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions John Joon Young Chung Ece Kamar Saleema Amershi ALM 50 113 0 07 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 52 4 0 21 Apr 2023
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training Koustubh Phalak Swaroop Ghosh 41 5 0 21 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations Benjamin Ramtoula Matthew Gadd Paul Newman D. Martini 33 10 0 20 Apr 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 38 14 0 03 Mar 2023
Performance-Preserving Event Log Sampling for Predictive Monitoring M. Sani Mozhgan Vazifehdoostirani Gyunam Park Marco Pegoraro S. V. Zelst Wil M.P. van der Aalst 41 7 0 18 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 60 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 54 88 0 13 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 47 28 0 03 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 52 62 0 12 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 45 4 0 28 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 35 35 0 07 Nov 2022
On Divergence Measures for Bayesian Pseudocoresets Balhae Kim J. Choi Seanie Lee Yoonho Lee Jung-Woo Ha Juho Lee DD 19 11 0 12 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 41 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 30 62 0 24 Aug 2022
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation Qucheng Peng Zhengming Ding Lingjuan Lyu Lichao Sun Chen Chen OOD MLAU 31 18 0 22 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu David Z. Pan DD 28 41 0 30 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 43 18 0 24 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 102 36 0 24 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 45 74 0 20 Jul 2022
Knowledge Condensation Distillation Chenxin Li Mingbao Lin Zhiyuan Ding Nie Lin Yihong Zhuang Yue Huang Xinghao Ding Liujuan Cao 42 28 0 12 Jul 2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States Francesco Faccio Aditya A. Ramesh Vincent Herrmann J. Harb Jürgen Schmidhuber OffRL 46 8 0 04 Jul 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 58 153 0 01 Jun 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani Zhicheng Zhang Nicholay Topin Z. Shi Charles A. Kamhoua Evangelos E. Papalexakis Fei Fang OffRL 83 13 0 25 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 10 27 0 26 Apr 2022
Event Log Sampling for Predictive Monitoring M. Sani Mozhgan Vazifehdoostirani Gyunam Park Marco Pegoraro S. V. Zelst Wil M.P. van der Aalst 45 7 0 04 Apr 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu Jack Goetz Kshitiz Malik Hongyuan Zhan Zhe Liu Yue Liu DD FedML 45 38 0 04 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 87 368 0 22 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 38 45 0 21 Mar 2022
Less is More: Proxy Datasets in NAS approaches Brian B. Moser Federico Raue Jörn Hees Andreas Dengel DD 24 6 0 14 Mar 2022