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Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for
  Enhanced Dataset Pruning

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning

22 November 2023
Xin Zhang
Jiawei Du
Yunsong Li
Weiying Xie
Joey Tianyi Zhou
ArXivPDFHTML

Papers citing "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning"

11 / 11 papers shown
Title
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
S. M. I. Simon X. Yang
Peng Ye
F. Shen
Dongzhan Zhou
17
0
0
02 May 2025
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data
Brent A. Griffin
Jacob Marks
Jason J. Corso
VLM
64
2
0
22 Nov 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through
  Directed Weight Adjustment
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
Jiawei Du
Xin Zhang
Juncheng Hu
Wenxin Huang
Joey Tianyi Zhou
DD
31
6
0
26 Sep 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
42
2
0
13 Aug 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
14
4
0
07 Jun 2024
Robust Data Pruning under Label Noise via Maximizing Re-labeling
  Accuracy
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park
Seola Choi
Doyoung Kim
Hwanjun Song
Jae-Gil Lee
NoLa
47
20
0
02 Nov 2023
Loss-Curvature Matching for Dataset Selection and Condensation
Loss-Curvature Matching for Dataset Selection and Condensation
Seung-Jae Shin
Heesun Bae
DongHyeok Shin
Weonyoung Joo
Il-Chul Moon
DD
38
24
0
08 Mar 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural
  Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Joey Tianyi Zhou
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
99
132
0
07 Oct 2021
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
75
184
0
27 Feb 2021
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
190
103
0
26 Aug 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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