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Coverage-centric Coreset Selection for High Pruning Rates

Coverage-centric Coreset Selection for High Pruning Rates

28 October 2022
Haizhong Zheng
Rui Liu
Fan Lai
Atul Prakash
ArXivPDFHTML

Papers citing "Coverage-centric Coreset Selection for High Pruning Rates"

13 / 13 papers shown
Title
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
Steve Yang
Peng Ye
Furao Shen
Dongzhan Zhou
26
0
0
02 May 2025
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Thomas Kerdreux
A. Tuel
Quentin Febvre
A. Mouche
Bertrand Chapron
73
0
0
09 Apr 2025
Diversity-Oriented Data Augmentation with Large Language Models
Diversity-Oriented Data Augmentation with Large Language Models
Zaitian Wang
Jinghan Zhang
Xinhao Zhang
Kunpeng Liu
Pengfei Wang
Yuanchun Zhou
80
1
0
17 Feb 2025
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
Weikai Yang
Shixia Liu
28
0
0
03 Oct 2024
Diversified Batch Selection for Training Acceleration
Diversified Batch Selection for Training Acceleration
Feng Hong
Yueming Lyu
Jiangchao Yao
Ya Zhang
Ivor W. Tsang
Yanfeng Wang
42
4
0
07 Jun 2024
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
42
1
0
13 Feb 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang
Shikun Li
Pengju Wang
Dan Zeng
Shiming Ge
DD
19
21
0
26 Dec 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for
  Enhanced Dataset Pruning
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
Xin Zhang
Jiawei Du
Yunsong Li
Weiying Xie
Qiufeng Wang
37
7
0
22 Nov 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in
  Data Pruning
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning
A. Maharana
Prateek Yadav
Mohit Bansal
27
28
0
11 Oct 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
32
16
0
15 Sep 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
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
91
188
0
27 Feb 2021
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
227
2,233
0
14 Jun 2018
1