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A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

23 May 2025
Brian B. Moser
Arundhati S. Shanbhag
Stanislav Frolov
Federico Raue
Joachim Folz
Andreas Dengel
ArXiv (abs)PDFHTML

Papers citing "A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances"

9 / 109 papers shown
Title
Importance Sampling for Minibatches
Importance Sampling for Minibatches
Dominik Csiba
Peter Richtárik
185
128
0
06 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.5K
214,123
0
10 Dec 2015
Variance Reduction in SGD by Distributed Importance Sampling
Variance Reduction in SGD by Distributed Importance Sampling
Guillaume Alain
Alex Lamb
Chinnadhurai Sankar
Aaron Courville
Yoshua Bengio
FedML
382
214
0
20 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
614
5,212
0
14 Nov 2015
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
1.0K
45,926
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.3K
107,446
0
04 Sep 2014
Stochastic Optimization with Importance Sampling
Stochastic Optimization with Importance SamplingInternational Conference on Machine Learning (ICML), 2014
P. Zhao
Tong Zhang
270
366
0
13 Jan 2014
Submodular Optimization with Submodular Cover and Submodular Knapsack
  Constraints
Submodular Optimization with Submodular Cover and Submodular Knapsack ConstraintsNeural Information Processing Systems (NeurIPS), 2013
Rishabh K. Iyer
J. Bilmes
220
269
0
08 Nov 2013
Super-Samples from Kernel Herding
Super-Samples from Kernel HerdingConference on Uncertainty in Artificial Intelligence (UAI), 2010
Yutian Chen
Max Welling
Alex Smola
368
374
0
15 Mar 2012
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