Dataset Meta-Learning from Kernel Ridge-Regression

30 October 2020

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

50 / 167 papers shown

Title
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 39 7 0 22 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 39 3 0 07 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 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
A Study in Dataset Pruning for Image Super-Resolution Brian B. Moser Federico Raue Andreas Dengel SupR 44 4 0 25 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 69 6 0 22 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 38 5 0 20 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 61 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 63 5 0 12 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Joey Tianyi Zhou Ivor Tsang AI4CE DD 31 11 0 10 Mar 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 54 12 0 06 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 98 4 0 01 Mar 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Joey Tianyi Zhou Yang You DD 68 13 0 07 Feb 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 80 185 0 06 Feb 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 28 6 0 29 Jan 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 69 39 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 78 6 0 18 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning Shangmin Guo Yi Ren Stefano V.Albrecht Kenny Smith 26 3 0 16 Jan 2024
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
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 27 6 0 24 Dec 2023
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 26 0 0 21 Dec 2023
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs Seungjun Lee Taeil Oh 21 5 0 18 Dec 2023
Dataset Distillation via Adversarial Prediction Matching Mingyang Chen Bo Huang Junda Lu Bing Li Yi Wang Minhao Cheng Wei Wang DD 18 5 0 14 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study Lirui Zhao Yu-xin Zhang Fei Chao 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 25 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
Discovering Galaxy Features via Dataset Distillation Haowen Guan Xuan Zhao Zishi Wang Zhiyang Li Julia Kempe DD 26 2 0 29 Nov 2023
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao Zeyuan Yin Muxin Zhou Xindong Zhang Zhiqiang Shen DD 27 21 0 29 Nov 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 39 6 0 28 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
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Joey Tianyi Zhou 37 7 0 22 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 Joey Tianyi Zhou DD 33 27 0 02 Nov 2023
Label Poisoning is All You Need Rishi Jha J. Hayase Sewoong Oh AAML 22 28 0 29 Oct 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim Hyungi Lee Juho Lee BDL 24 2 0 27 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Joey Tianyi Zhou 35 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 26 26 0 17 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 29 1 0 16 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 15 38 0 13 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation Haizhong Zheng Jiachen Sun Shutong Wu B. Kailkhura Zhuoqing Mao Chaowei Xiao Atul Prakash DD 19 2 0 11 Oct 2023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality Xuxi Chen Yu Yang Zhangyang Wang Baharan Mirzasoleiman DD 26 12 0 10 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee Seanie Lee Joonho Ko Kenji Kawaguchi Juho Lee Sung Ju Hwang DD 44 3 0 10 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 32 61 0 09 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 44 59 0 29 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 34 1 0 23 Sep 2023
Never-ending Learning of User Interfaces Jason Wu Rebecca Krosnick E. Schoop Amanda Swearngin Jeffrey P. Bigham Jeffrey Nichols VLM HAI 11 15 0 17 Aug 2023
Vision-Language Dataset Distillation Xindi Wu Byron Zhang Zhiwei Deng Olga Russakovsky DD VLM 33 8 0 15 Aug 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 18 15 0 24 Jul 2023