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2505.17799
Cited By
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
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Papers citing
"A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances"
50 / 109 papers shown
Adaptive Patch Exiting for Scalable Single Image Super-Resolution
European Conference on Computer Vision (ECCV), 2022
Shizun Wang
Ming Lu
Kaixin Chen
Xiaoqi Li
Jiaming Liu
Yandong Guo
SupR
270
28
0
22 Mar 2022
Less is More: Proxy Datasets in NAS approaches
Brian B. Moser
Federico Raue
Jörn Hees
Andreas Dengel
DD
196
14
0
14 Mar 2022
Minority Class Oriented Active Learning for Imbalanced Datasets
International Conference on Pattern Recognition (ICPR), 2021
Umang Aggarwal
Adrian Daniel Popescu
C´eline Hudelot
359
16
0
01 Feb 2022
Dataset Condensation with Distribution Matching
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Bo Zhao
Hakan Bilen
DD
562
402
0
08 Oct 2021
Active Learning by Acquiring Contrastive Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Katerina Margatina
Giorgos Vernikos
Loïc Barrault
Nikolaos Aletras
261
226
0
08 Sep 2021
Batch Active Learning at Scale
Neural Information Processing Systems (NeurIPS), 2021
Gui Citovsky
Giulia DeSalvo
Claudio Gentile
Lazaros Karydas
Anand Rajagopalan
Afshin Rostamizadeh
Sanjiv Kumar
236
182
0
29 Jul 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Neural Information Processing Systems (NeurIPS), 2021
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
448
590
0
15 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
186
119
0
01 Jul 2021
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Neural Information Processing Systems (NeurIPS), 2021
Zixiu Wang
Yiwen Guo
Hu Ding
OOD
201
8
0
30 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Neural Information Processing Systems (NeurIPS), 2021
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
244
102
0
14 Jun 2021
Accelerating Neural Architecture Search via Proxy Data
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Byunggook Na
J. Mok
Hyeokjun Choe
Sungroh Yoon
206
23
0
09 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
International Conference on Learning Representations (ICLR), 2021
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
405
173
0
02 Jun 2021
Submodular Mutual Information for Targeted Data Subset Selection
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
154
9
0
30 Apr 2021
In the light of feature distributions: moment matching for Neural Style Transfer
Computer Vision and Pattern Recognition (CVPR), 2021
Nikolai Kalischek
Jan Dirk Wegner
Konrad Schindler
OOD
190
55
0
12 Mar 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangtao Kong
Hengyuan Zhao
Yu Qiao
Chao Dong
268
190
0
06 Mar 2021
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
AAAI Conference on Artificial Intelligence (AAAI), 2021
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
173
57
0
27 Feb 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
International Conference on Machine Learning (ICML), 2021
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
1.3K
266
0
27 Feb 2021
An Information-Theoretic Justification for Model Pruning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Berivan Isik
Tsachy Weissman
Albert No
352
39
0
16 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
Rishabh Iyer University of Texas at Dallas
450
269
0
19 Dec 2020
Astraea: Grammar-based Fairness Testing
IEEE Transactions on Software Engineering (TSE), 2020
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
405
35
0
06 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
426
526
0
22 Sep 2020
Contextual Diversity for Active Learning
European Conference on Computer Vision (ECCV), 2020
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
422
210
0
13 Aug 2020
Submodular Combinatorial Information Measures with Applications in Machine Learning
Rishabh K. Iyer
Ninad Khargoankar
J. Bilmes
Himanshu Asanani
517
119
0
27 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Neural Information Processing Systems (NeurIPS), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
261
264
0
12 Jun 2020
Dataset Condensation with Gradient Matching
International Conference on Learning Representations (ICLR), 2020
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
621
628
0
10 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
341
281
0
06 Jun 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
IEEE Access (IEEE Access), 2020
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
468
181
0
20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
International Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.3K
22,444
0
13 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Neural Information Processing Systems (NeurIPS), 2020
Geoff Pleiss
Tianyi Zhang
Ethan R. Elenberg
Kilian Q. Weinberger
NoLa
601
336
0
28 Jan 2020
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
1.8K
6,691
0
23 Jan 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
Computer Vision and Pattern Recognition (CVPR), 2020
Dongzhan Zhou
Xinchi Zhou
Wenwei Zhang
Chen Change Loy
Shuai Yi
Xuesen Zhang
Wanli Ouyang
286
123
0
05 Jan 2020
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
311
203
0
13 Nov 2019
Small-GAN: Speeding Up GAN Training Using Core-sets
International Conference on Machine Learning (ICML), 2019
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
275
87
0
29 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Computer Vision and Pattern Recognition (CVPR), 2019
Xuanyi Dong
Yezhou Yang
433
689
0
10 Oct 2019
Discrepancy, Coresets, and Sketches in Machine Learning
Annual Conference Computational Learning Theory (COLT), 2019
Zohar Karnin
Edo Liberty
123
51
0
11 Jun 2019
Functional Regularisation for Continual Learning with Gaussian Processes
International Conference on Learning Representations (ICLR), 2019
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
520
205
0
31 Jan 2019
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
Vighnesh Birodkar
H. Mobahi
Samy Bengio
146
89
0
29 Jan 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
709
873
0
12 Dec 2018
Dataset Distillation
Tongzhou Wang
Jun-Yan Zhu
Antonio Torralba
Alexei A. Efros
DD
322
328
0
27 Nov 2018
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
1.0K
2,171
0
15 Jul 2018
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
781
4,746
0
24 Jun 2018
On Coresets for Logistic Regression
Alexander Munteanu
Chris Schwiegelshohn
C. Sohler
David P. Woodruff
265
118
0
22 May 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
International Conference on Machine Learning (ICML), 2018
Angelos Katharopoulos
François Fleuret
379
604
0
02 Mar 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Mélanie Ducoffe
F. Precioso
GAN
AAML
266
304
0
27 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
434
2,921
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
1.1K
3,219
0
05 Feb 2018
Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
G. Diamos
Heewoo Jun
Hassan Kianinejad
Md. Mostofa Ali Patwary
Yang Yang
Yanqi Zhou
494
891
0
01 Dec 2017
Variational Continual Learning
International Conference on Learning Representations (ICLR), 2017
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLL
VLM
BDL
476
784
0
29 Oct 2017
Practical Coreset Constructions for Machine Learning
Olivier Bachem
Mario Lucic
Andreas Krause
201
193
0
19 Mar 2017
Restricted Strong Convexity Implies Weak Submodularity
Ethan R. Elenberg
Rajiv Khanna
A. Dimakis
S. Negahban
275
162
0
02 Dec 2016
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