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Adaptive Second Order Coresets for Data-efficient Machine Learning

Adaptive Second Order Coresets for Data-efficient Machine Learning

28 July 2022
Omead Brandon Pooladzandi
David Davini
Baharan Mirzasoleiman
ArXivPDFHTML

Papers citing "Adaptive Second Order Coresets for Data-efficient Machine Learning"

12 / 12 papers shown
Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
53
1
0
12 May 2025
Core-Set Selection for Data-efficient Land Cover Segmentation
Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira
Akram Zaytar
Wanli Ma
R. Roscher
Ronny Hansch
...
Simone Fobi Nsutezo
Rahul Dodhia
J. L. Ferres
Oktay Karakuş
Paul L. Rosin
44
0
0
02 May 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
97
1
0
04 Feb 2025
CADC: Encoding User-Item Interactions for Compressing Recommendation
  Model Training Data
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Hossein Entezari Zarch
Abdulla Alshabanah
Chaoyi Jiang
Murali Annavaram
23
1
0
11 Jul 2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
Maximilian Böther
Abraham Sebastian
Pranjal Awasthi
Ana Klimovic
Srikumar Ramalingam
42
0
0
26 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
Soft Random Sampling: A Theoretical and Empirical Analysis
Soft Random Sampling: A Theoretical and Empirical Analysis
Xiaodong Cui
Ashish R. Mittal
Songtao Lu
Wei Zhang
G. Saon
Brian Kingsbury
45
1
0
21 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
21
28
0
11 Oct 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
42
3
0
20 Jul 2023
Provable Data Subset Selection For Efficient Neural Network Training
Provable Data Subset Selection For Efficient Neural Network Training
M. Tukan
Samson Zhou
Alaa Maalouf
Daniela Rus
Vladimir Braverman
Dan Feldman
MLT
23
9
0
09 Mar 2023
Dataset Distillation with Convexified Implicit Gradients
Dataset Distillation with Convexified Implicit Gradients
Noel Loo
Ramin Hasani
Mathias Lechner
Daniela Rus
DD
29
41
0
13 Feb 2023
Improving Levenberg-Marquardt Algorithm for Neural Networks
Improving Levenberg-Marquardt Algorithm for Neural Networks
Omead Brandon Pooladzandi
Yiming Zhou
ODL
23
2
0
17 Dec 2022
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