Dataset Distillation using Neural Feature Regression

1 June 2022

Jimmy Ba

Papers citing "Dataset Distillation using Neural Feature Regression"

50 / 114 papers shown

Title
Video Dataset Condensation with Diffusion Models Zhe Li Hadrien Reynaud Mischa Dombrowski Sarah Cechnicka Franciskus Xaverius Erick Bernhard Kainz DD VGen 45 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
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 65 0 0 23 Apr 2025
Condensing Action Segmentation Datasets via Generative Network Inversion Guodong Ding Rongyu Chen Angela Yao DD 60 0 0 18 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 77 2 0 13 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 75 0 0 03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 43 0 0 02 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Z. Liu Chenghao Sun Xuming Hu Conghui He L. Zhang DD 44 2 0 28 Feb 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee S. Lee Juho Lee BDL 36 0 0 28 Feb 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 67 0 0 18 Feb 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 49 1 0 13 Jan 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li G. Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 42 0 0 08 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 77 1 0 29 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 74 2 0 18 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 62 4 0 22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao Yang He DD 24 5 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 36 1 0 20 Oct 2024
Multi-modal Vision Pre-training for Medical Image Analysis Shaohao Rui Lingzhi Chen Zhenyu Tang Lilong Wang M. Liu S. Zhang Xiaosong Wang 27 0 0 14 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 26 4 0 10 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 67 2 0 03 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang Yantai Yang Shuaiyu Zhang Chenghao Sun Weiya Li Xuming Hu Linfeng Zhang 30 0 0 02 Oct 2024
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies Shalini Sarode Muhammad Saif Ullah Khan Tahira Shehzadi Didier Stricker Muhammad Zeshan Afzal 34 0 0 30 Sep 2024
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 30 2 0 24 Sep 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon Jung Uk Kim Gyeong-Moon Park DD 33 1 0 22 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 33 2 0 02 Sep 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 46 2 0 24 Aug 2024
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 30 4 0 16 Aug 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu Songhua Liu Zigeng Chen Jingwen Ye Xinchao Wang DD 32 1 0 15 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 43 2 0 06 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 30 0 0 05 Aug 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 35 18 0 21 Jul 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 23 10 0 19 Jul 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 32 2 0 15 Jul 2024
FYI: Flip Your Images for Dataset Distillation Byunggwan Son Youngmin Oh Donghyeon Baek Bumsub Ham DD 35 3 0 11 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 37 4 0 09 Jul 2024
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory Wenliang Zhong Haoyu Tang Qinghai Zheng Mingzhu Xu Yupeng Hu Liqiang Nie DD 38 2 0 28 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 84 10 0 15 Jun 2024
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong Hao Fang Bin Chen Xulin Gu Tao Dai Meikang Qiu Shu-Tao Xia DD 33 0 0 09 Jun 2024
Mitigating Bias in Dataset Distillation Justin Cui Ruochen Wang Yuanhao Xiong Cho-Jui Hsieh DD 29 1 0 06 Jun 2024
What is Dataset Distillation Learning? William Yang Ye Zhu Zhiwei Deng Olga Russakovsky DD 36 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 41 4 0 06 Jun 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges Hoyong Choi Nohyun Ki Hye Won Chung 27 2 0 05 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 37 3 0 04 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 29 4 0 03 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 29 6 0 28 May 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 45 2 0 23 May 2024
Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 42 5 0 26 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 36 3 0 22 Apr 2024