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FairDD: Fair Dataset Distillation via Synchronized Matching

FairDD: Fair Dataset Distillation via Synchronized Matching

29 November 2024
Qihang Zhou
Shenhao Fang
Shibo He
Wenchao Meng
Jiming Chen
    FedML
    DD
ArXivPDFHTML

Papers citing "FairDD: Fair Dataset Distillation via Synchronized Matching"

14 / 14 papers shown
Title
Group Distributionally Robust Dataset Distillation with Risk Minimization
Group Distributionally Robust Dataset Distillation with Risk Minimization
Saeed Vahidian
Mingyu Wang
Jianyang Gu
Vyacheslav Kungurtsev
Wei Jiang
Yiran Chen
OOD
DD
60
6
0
07 Feb 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
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
98
6
0
28 Nov 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory
  Matching
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Ziyao Guo
Kai Wang
George Cazenavette
Hui Li
Kaipeng Zhang
Yang You
DD
54
69
0
09 Oct 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
45
29
0
28 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
69
136
0
19 Nov 2022
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
461
167
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
156
381
0
22 Mar 2022
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
132
28
0
21 Sep 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
77
553
0
19 Jul 2021
Fair Feature Distillation for Visual Recognition
Fair Feature Distillation for Visual Recognition
S. Jung
Donggyu Lee
Taeeon Park
Taesup Moon
42
75
0
27 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
673
28,659
0
26 Feb 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
368
40,217
0
22 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
76
625
0
04 Oct 2020
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
130
1,094
0
06 Mar 2018
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