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Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

22 September 2024
Jun-Yeong Moon
Jung Uk Kim
Gyeong-Moon Park
    DD
ArXivPDFHTML

Papers citing "Towards Model-Agnostic Dataset Condensation by Heterogeneous Models"

10 / 10 papers shown
Title
Dataset Condensation via Efficient Synthetic-Data Parameterization
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
464
168
0
30 May 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
170
387
0
22 Mar 2022
Decoupled Knowledge Distillation
Decoupled Knowledge Distillation
Borui Zhao
Quan Cui
Renjie Song
Yiyu Qiu
Jiajun Liang
56
538
0
16 Mar 2022
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
70
87
0
25 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
526
40,739
0
22 Oct 2020
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
602
4,766
0
13 May 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
76
574
0
03 Apr 2019
Dataset Distillation
Dataset Distillation
Tongzhou Wang
Jun-Yan Zhu
Antonio Torralba
Alexei A. Efros
DD
75
296
0
27 Nov 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
118
1,771
0
24 May 2018
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
248
3,114
0
19 May 2017
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