Dataset Condensation with Contrastive Signals

7 February 2022

Papers citing "Dataset Condensation with Contrastive Signals"

29 / 29 papers shown

Title
Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao Yushu Wu Xinru Jiang Jianyang Gu Yanzhi Wang Xiaolin Xu Pu Zhao Xue Lin DD 7 0 0 23 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation Zekai Li Xinhao Zhong Samir Khaki Zhiyuan Liang Yuhao Zhou ... Konstantinos N Plataniotis Zhangyang Wang Bo Zhao Yang You Kai Wang DD 33 0 0 19 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 61 0 0 28 Apr 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 75 0 0 23 Jan 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 84 2 0 13 Jan 2025
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 75 5 0 22 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 107 2 0 03 Oct 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 70 2 0 13 Aug 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 47 2 0 15 Jul 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 65 6 0 19 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 63 3 0 02 May 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 63 3 0 22 Apr 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 72 8 0 15 Mar 2024
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 56 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 22 40 0 13 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 62 62 0 29 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 50 23 0 20 Jul 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 58 12 0 28 May 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 60 123 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 58 90 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 61 74 0 11 Jan 2023
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 67 63 0 12 Dec 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 53 134 0 19 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 149 143 0 30 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 62 2 0 20 Oct 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 45 105 0 15 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 58 154 0 01 Jun 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 209 298 0 16 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 353 3,760 0 11 Feb 2021