v1v2v3 (latest)

Dataset Condensation with Gradient Matching

International Conference on Learning Representations (ICLR), 2025

10 June 2020

Papers citing "Dataset Condensation with Gradient Matching"

50 / 375 papers shown

Title
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 162 86 0 11 Jan 2023
Tackling Data Bias in Painting Classification with Style Transfer Mridula Vijendran Frederick W. B. Li Hubert P. H. Shum 183 4 0 06 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 150 30 0 03 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 146 41 0 28 Dec 2022
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 161 184 0 16 Dec 2022
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Yongbin Li Dongkuan Xu DD 195 72 0 12 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 320 57 0 25 Nov 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 142 138 0 20 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 111 30 0 20 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 105 11 0 19 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 213 167 0 19 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 106 43 0 07 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching Yuzhou Nie Xiaotian Cheng Hakan Bilen Xiangyang Ji GAN 138 7 0 06 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 97 4 0 04 Nov 2022
Iterative Teaching by Data Hallucination Zeju Qiu Weiyang Liu Tim Z. Xiao Zhen Liu Umang Bhatt Yucen Luo Adrian Weller Bernhard Schölkopf 166 10 0 31 Oct 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 259 160 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 160 118 0 21 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 151 15 0 21 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 267 2 0 20 Oct 2022
Efficient Bi-Level Optimization for Recommendation Denoising Zongwei Wang Min Gao Wentao Li Junliang Yu Linxin Guo Hongzhi Yin 130 37 0 19 Oct 2022
MaSS: Multi-attribute Selective Suppression Chun-Fu Chen Shaohan Hu Zhong-Zhi Shi Prateek Gulati Bill Moriarty Marco Pistoia Vincenzo Piuri P. Samarati CVBM 88 4 0 18 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 192 56 0 13 Oct 2022
On Divergence Measures for Bayesian Pseudocoresets Balhae Kim J. Choi Seanie Lee Yoonho Lee Jung-Woo Ha Juho Lee DD 92 12 0 12 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 91 33 0 29 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 123 47 0 29 Sep 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 160 24 0 29 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 159 71 0 24 Aug 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing Haebeom Lee Dong Bok Lee Sung Ju Hwang DD 106 41 0 21 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu David Z. Pan DD 123 45 0 30 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 115 95 0 20 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 160 82 0 20 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Di Lin Wenbin Hu Danilo Mandic 136 40 0 18 Jul 2022
Knowledge Condensation Distillation Chenxin Li Mingbao Lin Zhiyuan Ding Nie Lin Yihong Zhuang Yue Huang Xinghao Ding Liujuan Cao 116 32 0 12 Jul 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 146 56 0 28 Jun 2022
Sample Condensation in Online Continual Learning Mattia Sangermano Antonio Carta Andrea Cossu D. Bacciu DD 141 45 0 23 Jun 2022
PRANC: Pseudo RAndom Networks for Compacting deep models Parsa Nooralinejad Ali Abbasi Soroush Abbasi Koohpayegani Kossar Pourahmadi Meibodi Rana Muhammad Shahroz Khan Soheil Kolouri Hamed Pirsiavash DD 146 0 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 159 121 0 15 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 189 110 0 06 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 165 30 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 186 182 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 170 128 0 01 Jun 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 843 196 0 30 May 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 211 53 0 25 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 297 131 0 19 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 107 24 0 04 May 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang Yang Lu Gang Huang Hanzi Wang FedML 118 94 0 28 Apr 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 269 165 0 18 Apr 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 165 85 0 15 Apr 2022
Information-theoretic Online Memory Selection for Continual Learning Shengyang Sun Daniele Calandriello Huiyi Hu Ang Li Michalis K. Titsias CLL 90 56 0 10 Apr 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 119 26 0 29 Mar 2022