Dataset Meta-Learning from Kernel Ridge-Regression

30 October 2020

Papers citing "Dataset Meta-Learning from Kernel Ridge-Regression"

50 / 167 papers shown

Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 44 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 77 0 0 03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 48 0 0 02 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee S. Lee Juho Lee BDL 38 0 0 28 Feb 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
Synthetic Text Generation for Training Large Language Models via Gradient Matching Dang Nguyen Zeman Li M. Bateni Vahab Mirrokni Meisam Razaviyayn Baharan Mirzasoleiman 42 0 0 24 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
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 85 19 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 57 0 0 23 Jan 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 54 7 0 20 Jan 2025
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 76 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 32 5 0 21 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 32 4 0 10 Oct 2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization Yunlong Zhao Xiaoheng Deng Xiu Su Hongyan Xu Xiuxing Li Yijing Liu Shan You FedML DD 31 1 0 07 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 32 0 0 02 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du Xin Zhang Juncheng Hu Wenxin Huang Joey Tianyi Zhou DD 33 6 0 26 Sep 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
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 30 2 0 24 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 37 2 0 02 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions Shiguang Wang Zhongyu Zhang Jian Cheng DD 28 0 0 29 Aug 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 48 2 0 24 Aug 2024
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu M. Pagnucco Shiliang Zhang Yang Song DD 30 0 0 19 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 32 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 37 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 47 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 43 2 0 06 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 32 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 41 18 0 21 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 41 3 0 11 Jul 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren AAML 28 3 0 06 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 86 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 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 41 4 0 06 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 34 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
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 32 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 23 3 0 27 May 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