Data Dropout: Optimizing Training Data for Convolutional Neural Networks

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Data Dropout: Optimizing Training Data for Convolutional Neural Networks

1 September 2018

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Papers citing "Data Dropout: Optimizing Training Data for Convolutional Neural Networks"

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Title
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training S. Srinivasan Xinyue Hao Shihao Hou Yang Lu Laura Sevilla-Lara Anurag Arnab Shreyank N Gowda 66 0 0 28 May 2025
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 128 49 0 25 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 129 28 0 20 Sep 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 58 11 0 06 Jul 2022
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs John Thorpe Pengzhan Zhao Jon Eyolfson Yifan Qiao Zhihao Jia Minjia Zhang Ravi Netravali Guoqing Harry Xu 85 58 0 26 Apr 2022
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime Rui Zhang Shihua Zhang TDI 70 23 0 15 Dec 2021
Scaling Up Influence Functions Andrea Schioppa Polina Zablotskaia David Vilar Artem Sokolov TDI 124 106 0 06 Dec 2021
Unified Regularity Measures for Sample-wise Learning and Generalization Chi Zhang Xiaoning Ma Yu Liu Le Wang Yuanqi Su Yuehu Liu 67 1 0 09 Aug 2021
Efficient Neural Architecture Search with Performance Prediction Ibrahim Alshubaily 48 3 0 04 Aug 2021
Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction Kunal Bhardwaj 66 4 0 03 Jun 2021
Finding Influential Instances for Distantly Supervised Relation Extraction Zifeng Wang Rui Wen Xi Chen Shao-Lun Huang Ningyu Zhang Yefeng Zheng TDI 82 23 0 17 Sep 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 84 90 0 24 Apr 2020
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems Minghong Fang Neil Zhenqiang Gong Jia-Wei Liu TDI 108 155 0 19 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 175 274 0 28 Jan 2020
Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang Hong Zhu Zhenhua Dong Xiuqiang He Shao-Lun Huang TDI 103 54 0 03 Dec 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications Nicholas Carlini Ulfar Erlingsson Nicolas Papernot OOD OODD 71 61 0 29 Oct 2019