Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

6 June 2022

Papers citing "Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks"

50 / 76 papers shown

Title
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization Bowen Yuan Yuxia Fu Zijian Wang Yadan Luo Zi Huang DD 75 0 0 18 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 81 2 0 13 Mar 2025
Distilling Dataset into Neural Field DongHyeok Shin Heesun Bae Gyuwon Sim Wanmo Kang Il-Chul Moon DD 69 1 0 05 Mar 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 51 1 0 13 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 55 2 0 08 Jan 2025
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 83 2 0 18 Nov 2024
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 36 0 0 30 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 34 4 0 10 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang Yantai Yang Shuaiyu Zhang Chenghao Sun Weiya Li Xuming Hu Linfeng Zhang 37 0 0 02 Oct 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data Xiufang Shi Wei Zhang Mincheng Wu Guangyi Liu Z. Wen Shibo He Tejal Shah R. Ranjan DD FedML 32 1 0 26 Sep 2024
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu M. Pagnucco Shiliang Zhang Yang Song DD 35 0 0 19 Aug 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu Songhua Liu Zigeng Chen Jingwen Ye Xinchao Wang DD 39 1 0 15 Aug 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 46 18 0 21 Jul 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 41 10 0 19 Jul 2024
FYI: Flip Your Images for Dataset Distillation Byunggwan Son Youngmin Oh Donghyeon Baek Bumsub Ham DD 41 3 0 11 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 42 4 0 09 Jul 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 88 10 0 15 Jun 2024
Mitigating Bias in Dataset Distillation Justin Cui Ruochen Wang Yuanhao Xiong Cho-Jui Hsieh DD 39 1 0 06 Jun 2024
What is Dataset Distillation Learning? William Yang Ye Zhu Zhiwei Deng Olga Russakovsky DD 44 3 0 06 Jun 2024
Low-Rank Similarity Mining for Multimodal Dataset Distillation Yue Xu Zhilin Lin Yusong Qiu Cewu Lu Yong-Lu Li DD 47 4 0 06 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
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 50 2 0 23 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 38 1 0 22 Apr 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation Wenxiao Deng Wenbin Li Tianyu Ding Lei Wang Hongguang Zhang Kuihua Huang Jing Huo Yang Gao DD 50 14 0 31 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 69 6 0 22 Mar 2024
Distilling Datasets Into Less Than One Image Asaf Shul Eliahu Horwitz Yedid Hoshen DD 34 2 0 18 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 64 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 69 5 0 12 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 33 11 0 10 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models Bartosz Cywiñski Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski Lukasz Kuciñski DiffM 45 3 0 06 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 98 4 0 01 Mar 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 28 6 0 29 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 35 13 0 27 Dec 2023
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study Lirui Zhao Yu-xin Zhang Rongrong Ji Rongrong Ji 32 1 0 09 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 33 8 0 01 Dec 2023
Dataset Distillation via the Wasserstein Metric Haoyang Liu Yijiang Li Tiancheng Xing Vibhu Dalal Luwei Li Jingrui He Haohan Wang DD 43 12 0 30 Nov 2023
Dataset Distillation in Latent Space Yuxuan Duan Jianfu Zhang Liqing Zhang DD 45 6 0 27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 39 27 0 27 Nov 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 35 19 0 15 Nov 2023
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 42 9 0 15 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 36 5 0 13 Nov 2023
Sequential Subset Matching for Dataset Distillation Jiawei Du Qin Shi Qiufeng Wang DD 33 27 0 02 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Data Pruning via Moving-one-Sample-out Haoru Tan Sitong Wu Fei Du Yukang Chen Zhibin Wang Fan Wang Xiaojuan Qi 49 31 0 23 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Qiufeng Wang 37 14 0 21 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 31 27 0 17 Oct 2023