Dataset Distillation: A Comprehensive Review

17 January 2023

Songhua Liu

Papers citing "Dataset Distillation: A Comprehensive Review"

50 / 96 papers shown

Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 37 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 48 0 0 28 Apr 2025
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation Hamza Riaz A. Smeaton ViT 27 0 0 05 Apr 2025
Condensing Action Segmentation Datasets via Generative Network Inversion Guodong Ding Rongyu Chen Angela Yao DD 55 0 0 18 Mar 2025
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge Zhen Yu Jianan Han Yang Liu Qingchao Chen 59 0 0 06 Mar 2025
Distilling Dataset into Neural Field DongHyeok Shin Heesun Bae Gyuwon Sim Wanmo Kang Il-Chul Moon DD 63 1 0 05 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 75 0 0 03 Mar 2025
Scientific Reasoning: Assessment of Multimodal Generative LLMs Florian Dreyer Ekaterina Kolos Daria Matiash ReLM LRM 57 0 0 03 Mar 2025
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation Tatsuya Aoyama Hanting Yang Hiroyuki Hanada Satoshi Akahane Tomonari Tanaka ... Noriaki Hashimoto Taro Murayama Hanju Lee Shinya Kojima Ichiro Takeuchi 60 0 0 18 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 50 0 0 23 Jan 2025
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 69 1 0 06 Dec 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 69 0 0 24 Nov 2024
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data Brent A. Griffin Jacob Marks Jason J. Corso VLM 64 2 0 22 Nov 2024
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 23 0 0 30 Oct 2024
Privacy-Preserving Federated Learning via Dataset Distillation ShiMao Xu Xiaopeng Ke Xing Su Shucheng Li Hao Wu Sheng Zhong Fengyuan Xu FedML 15 0 0 25 Oct 2024
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models Zhezhang Ding Huijing Zhao 22 0 0 21 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning Jiangtao Kong Jiacheng Shi Ashley Gao Shaohan Hu Tianyi Zhou Huajie Shao VLM DD 23 1 0 20 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma Ivan Titov 16 0 0 18 Oct 2024
RAZOR: Refining Accuracy by Zeroing Out Redundancies Daniel Riccio Genoveffa Tortora Mara Sangiovanni 18 0 0 18 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 16 4 0 10 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 23 4 0 18 Sep 2024
Anytime Continual Learning for Open Vocabulary Classification Zhen Zhu Yiming Gong Derek Hoiem VLM 27 0 0 13 Sep 2024
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen FedML DD 30 2 0 02 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions Shiguang Wang Zhongyu Zhang Jian Cheng DD 23 0 0 29 Aug 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu Songhua Liu Zigeng Chen Jingwen Ye Xinchao Wang DD 19 1 0 15 Aug 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 42 2 0 13 Aug 2024
Prioritize Alignment in Dataset Distillation Zekai Li Ziyao Guo Wangbo Zhao Tianle Zhang Zhi-Qi Cheng ... Kaipeng Zhang A. Sajedi Konstantinos N Plataniotis Kai Wang Yang You DD 35 2 0 06 Aug 2024
Dataset Distillation for Offline Reinforcement Learning Jonathan Light Yuanzhe Liu Ziniu Hu DD 28 2 0 29 Jul 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 27 18 0 21 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 24 4 0 09 Jul 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Data-Centric AI in the Age of Large Language Models Xinyi Xu Zhaoxuan Wu Rui Qiao Arun Verma Yao Shu ... Xiaoqiang Lin Wenyang Hu Zhongxiang Dai Pang Wei Koh Bryan Kian Hsiang Low ALM 40 2 0 20 Jun 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen Yezhen Wang Zhouhao Yang Xiang Li Haonan Wang Yang Zhang Jonathan Scarlett Zhanxing Zhu Kenji Kawaguchi AI4CE 44 4 0 20 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 25 0 0 05 Jun 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation Zheng Zhou Hong Zhao Guangliang Cheng Xiangtai Li Shuchang Lyu Wenquan Feng Qi Zhao DD 47 0 0 03 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 26 4 0 03 Jun 2024
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun Yi Jiang Tao Lin DD 31 0 0 23 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 24 6 0 22 May 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 28 4 0 22 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 30 3 0 22 Apr 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction Lan Feng Mohammadhossein Bahari Kaouther Messaoud Ben Amor Éloi Zablocki Matthieu Cord Alexandre Alahi 36 18 0 22 Mar 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 34 4 0 20 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 22 45 0 18 Mar 2024
Distilling the Knowledge in Data Pruning Emanuel Ben-Baruch Adam Botach Igor Kviatkovsky Manoj Aggarwal Gérard Medioni 24 1 0 12 Mar 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 23 1 0 05 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
SlimSAM: 0.1% Data Makes Segment Anything Slim Zigeng Chen Gongfan Fang Xinyin Ma Xinchao Wang 16 12 0 08 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 8 36 0 06 Dec 2023
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao Zeyuan Yin Muxin Zhou Xindong Zhang Zhiqiang Shen DD 18 20 0 29 Nov 2023