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Dataset Condensation with Contrastive Signals

Dataset Condensation with Contrastive Signals

7 February 2022
Saehyung Lee
Sanghyuk Chun
Sangwon Jung
Sangdoo Yun
Sung-Hoon Yoon
    DD
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Papers citing "Dataset Condensation with Contrastive Signals"

25 / 25 papers shown
Title
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
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
On Learning Representations for Tabular Data Distillation
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
O. Seneviratne
DD
66
0
0
23 Jan 2025
Dataset Distillation via Committee Voting
Dataset Distillation via Committee Voting
Jiacheng Cui
Zhaoyi Li
Xiaochen Ma
Xinyue Bi
Yaxin Luo
Zhiqiang Shen
DD
FedML
51
1
0
13 Jan 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
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
64
4
0
22 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
S. Joshi
Jiayi Ni
Baharan Mirzasoleiman
DD
72
2
0
03 Oct 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
50
2
0
13 Aug 2024
DDFAD: Dataset Distillation Framework for Audio Data
DDFAD: Dataset Distillation Framework for Audio Data
Wenbo Jiang
Rui Zhang
Hongwei Li
Xiaoyuan Liu
Haomiao Yang
Shui Yu
DD
40
2
0
15 Jul 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
58
6
0
19 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
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
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
41
3
0
22 Apr 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
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
AST: Effective Dataset Distillation through Alignment with Smooth and
  High-Quality Expert Trajectories
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
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
46
59
0
29 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
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
43
23
0
20 Jul 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
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
45
12
0
28 May 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
53
121
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
45
73
0
11 Jan 2023
Accelerating Dataset Distillation via Model Augmentation
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo-Lu Zhao
Caiwen Ding
Heng Chang
Dongkuan Xu
DD
43
62
0
12 Dec 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
22
129
0
19 Nov 2022
Dataset Distillation via Factorization
Dataset Distillation via Factorization
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
126
141
0
30 Oct 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
28
98
0
15 Jun 2022
Dataset Distillation using Neural Feature Regression
Dataset Distillation using Neural Feature Regression
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
39
149
0
01 Jun 2022
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
199
288
0
16 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
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
301
3,700
0
11 Feb 2021
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