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DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
v1v2v3 (latest)

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

International Conference on Database and Expert Systems Applications (DEXA), 2022
18 April 2022
Chengcheng Guo
B. Zhao
Yanbing Bai
    OOD
ArXiv (abs)PDFHTML

Papers citing "DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning"

13 / 63 papers shown
Title
Towards a Phenomenological Understanding of Neural Networks: Data
Towards a Phenomenological Understanding of Neural Networks: Data
S. Tovey
Sven Krippendorf
Konstantin Nikolaou
Daniel Fink
FedML
151
4
0
01 May 2023
Bayesian Pseudo-Coresets via Contrastive Divergence
Bayesian Pseudo-Coresets via Contrastive DivergenceConference on Uncertainty in Artificial Intelligence (UAI), 2023
Piyush Tiwary
Kumar Shubham
V. Kashyap
Prathosh A.P.
230
4
0
20 Mar 2023
SemDeDup: Data-efficient learning at web-scale through semantic
  deduplication
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas
Kushal Tirumala
Daniel Simig
Surya Ganguli
Ari S. Morcos
254
234
0
16 Mar 2023
Loss-Curvature Matching for Dataset Selection and Condensation
Loss-Curvature Matching for Dataset Selection and CondensationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Seung-Jae Shin
Heesun Bae
DongHyeok Shin
Weonyoung Joo
Il-Chul Moon
DD
191
33
0
08 Mar 2023
Finding Support Examples for In-Context Learning
Finding Support Examples for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xiaonan Li
Xipeng Qiu
284
120
0
27 Feb 2023
Data pruning and neural scaling laws: fundamental limitations of
  score-based algorithms
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms
Fadhel Ayed
Soufiane Hayou
355
13
0
14 Feb 2023
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset SelectionInternational Conference on Learning Representations (ICLR), 2023
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
135
5
0
28 Jan 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
310
166
0
17 Jan 2023
A new dataset for measuring the performance of blood vessel segmentation
  methods under distribution shifts
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shiftsPLoS ONE (PLoS ONE), 2023
Matheus V. da Silva
Natália de Carvalho Santos
Julie Ouellette
Baptiste Lacoste
C. H. Comin
229
2
0
11 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
336
95
0
11 Jan 2023
Coverage-centric Coreset Selection for High Pruning Rates
Coverage-centric Coreset Selection for High Pruning RatesInternational Conference on Learning Representations (ICLR), 2022
Haizhong Zheng
Rui Liu
Fan Lai
Atul Prakash
256
86
0
28 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
A Survey of Dataset Refinement for Problems in Computer Vision DatasetsACM Computing Surveys (ACM CSUR), 2022
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
308
16
0
21 Oct 2022
Contextual Diversity for Active Learning
Contextual Diversity for Active LearningEuropean Conference on Computer Vision (ECCV), 2020
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
381
209
0
13 Aug 2020
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