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Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

19 May 2022
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
    DD
ArXivPDFHTML

Papers citing "Dataset Pruning: Reducing Training Data by Examining Generalization Influence"

12 / 12 papers shown
Title
Latent Video Dataset Distillation
Latent Video Dataset Distillation
Ning Li
Antai Andy Liu
Jingran Zhang
Justin Cui
DD
VGen
65
0
0
23 Apr 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
59
0
0
20 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu
Pingbang Hu
Han Zhao
Jiaqi W. Ma
TDI
122
2
0
10 Jan 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
72
0
0
01 Dec 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia
Jiancheng Liu
Yihua Zhang
Parikshit Ram
Nathalie Baracaldo
Sijia Liu
MU
28
2
0
23 Oct 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
FedML
TDI
42
1
0
17 Jun 2024
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
11
98
0
15 Jun 2022
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
183
219
0
16 Feb 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
191
316
0
16 Jan 2021
Single-View 3D Object Reconstruction from Shape Priors in Memory
Single-View 3D Object Reconstruction from Shape Priors in Memory
Shuo Yang
Min Xu
Haozhe Xie
Stuart Perry
H. Yao
3DV
114
8
0
08 Mar 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
170
1,018
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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