Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine

Keller Rorabaugh, Ariel; Caino-Lores, Silvina; Johnston, Travis; Taufer, Michela

doi:10.1109/tpds.2022.3140681

Building High-throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine

Journal Article · 31 December 2021 · IEEE Transactions on Parallel and Distributed Systems

DOI:https://doi.org/10.1109/tpds.2022.3140681· OSTI ID:2424002

Keller Rorabaugh, Ariel; Caino-Lores, Silvina; Johnston, Travis; Taufer, Michela

Not provided.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 2424002

Journal Information:: IEEE Transactions on Parallel and Distributed Systems, Journal Name: IEEE Transactions on Parallel and Distributed Systems Journal Issue: 11 Vol. 33; ISSN 1045-9219

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (25)

DENSER: deep evolutionary network structured representation Assunção, Filipe; Lourenço, Nuno; Machado, Penousal Genetic Programming and Evolvable Machines, Vol. 20, Issue 1 https://doi.org/10.1007/s10710-018-9339-y	journal	September 2018
167-PFlops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation Patton, Robert M.; Johnston, J. Travis; Young, Steven R. SC18: International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC.2018.00053	conference	November 2018
Classification of Garments from Fashion MNIST Dataset Using CNN LeNet-5 Architecture Kayed, Mohammed; Anter, Ahmed; Mohamed, Hadeer 2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE) https://doi.org/10.1109/ITCE48509.2020.9047776	conference	February 2020
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks Song, Chang; Cheng, Hsin-Pai; Yang, Huanrui 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) https://doi.org/10.1109/ISVLSI.2018.00092	conference	July 2018
Do We Train on Test Data? Purging CIFAR of Near-Duplicates Barz, Björn; Denzler, Joachim Journal of Imaging, Vol. 6, Issue 6 https://doi.org/10.3390/jimaging6060041	journal	June 2020
Gradient-based learning applied to document recognition Lecun, Y.; Bottou, L.; Bengio, Y. Proceedings of the IEEE, Vol. 86, Issue 11 https://doi.org/10.1109/5.726791	journal	January 1998
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition Torralba, A.; Fergus, R.; Freeman, W. T. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, Issue 11 https://doi.org/10.1109/TPAMI.2008.128	journal	November 2008
Classification of fashion article images using convolutional neural networks Bhatnagar, Shobhit; Ghosal, Deepanway; Kolekar, Maheshkumar H. 2017 Fourth International Conference on Image Information Processing (ICIIP) https://doi.org/10.1109/ICIIP.2017.8313740	conference	December 2017
Auto-Keras: An Efficient Neural Architecture Search System Jin, Haifeng; Song, Qingquan; Hu, Xia Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining https://doi.org/10.1145/3292500.3330648	conference	July 2019
Optimizing Convolutional Neural Networks for Cloud Detection Johnston, Travis; Young, Steven R.; Hughes, David Proceedings of the Machine Learning on HPC Environments https://doi.org/10.1145/3146347.3146352	conference	November 2017
Learning Transferable Architectures for Scalable Image Recognition Zoph, Barret; Vasudevan, Vijay; Shlens, Jonathon 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/CVPR.2018.00907	conference	June 2018
Exascale Deep Learning to Accelerate Cancer Research Patton, Robert M.; Johnston, J. Travis; Young, Steven R. 2019 IEEE International Conference on Big Data (Big Data) https://doi.org/10.1109/BigData47090.2019.9006467	conference	December 2019
NSGA-Net Lu, Zhichao; Whalen, Ian; Boddeti, Vishnu Proceedings of the Genetic and Evolutionary Computation Conference https://doi.org/10.1145/3321707.3321729	conference	July 2019
Deep variance network: An iterative, improved CNN framework for unbalanced training datasets Li, Shuai; Song, Wenfeng; Qin, Hong Pattern Recognition, Vol. 81 https://doi.org/10.1016/j.patcog.2018.03.035	journal	September 2018
High frequency accuracy and loss data of random neural networks trained on image datasets Rorabaugh, Ariel Keller; Caíno-Lores, Silvina; Johnston, Travis Data in Brief, Vol. 40 https://doi.org/10.1016/j.dib.2021.107780	journal	February 2022
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing Correa-Baena, Juan-Pablo; Hippalgaonkar, Kedar; van Duren, Jeroen Joule, Vol. 2, Issue 8 https://doi.org/10.1016/j.joule.2018.05.009	journal	August 2018
Particle swarm optimization of deep neural networks architectures for image classification Fernandes Junior, Francisco Erivaldo; Yen, Gary G. Swarm and Evolutionary Computation, Vol. 49 https://doi.org/10.1016/j.swevo.2019.05.010	journal	September 2019
Evolving Deep Networks Using HPC Young, Steven R.; Rose, Derek C.; Johnston, Travis Proceedings of the Machine Learning on HPC Environments - MLHPC'17 https://doi.org/10.1145/3146347.3146355	conference	January 2017
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks Tan, Dayu; Zhong, Weimin; Peng, Xin IEEE Transactions on Cognitive and Developmental Systems, Vol. 14, Issue 1 https://doi.org/10.1109/TCDS.2020.3017100	journal	March 2022
On the predictive power of meta-features in OpenML Bilalli, Besim; Abelló, Alberto; Aluja-Banet, Tomàs International Journal of Applied Mathematics and Computer Science, Vol. 27, Issue 4 https://doi.org/10.1515/amcs-2017-0048	journal	December 2017
Evolving Deep Convolutional Neural Networks for Image Classification Sun, Yanan; Xue, Bing; Zhang, Mengjie IEEE Transactions on Evolutionary Computation, Vol. 24, Issue 2 https://doi.org/10.1109/TEVC.2019.2916183	journal	April 2020
How Big Data and High-Performance Computing Drive Brain Science Chen, Shanyu; He, Zhipeng; Han, Xinyin Genomics, Proteomics & Bioinformatics, Vol. 17, Issue 4 https://doi.org/10.1016/j.gpb.2019.09.003	journal	August 2019
Survey on deep learning with class imbalance Johnson, Justin M.; Khoshgoftaar, Taghi M. Journal of Big Data, Vol. 6, Issue 1 https://doi.org/10.1186/s40537-019-0192-5	journal	March 2019
Genetic CNN Xie, Lingxi; Yuille, Alan 2017 IEEE International Conference on Computer Vision (ICCV) https://doi.org/10.1109/ICCV.2017.154	conference	October 2017
Batch-normalized Mlpconv-wise supervised pre-training network in network Han, Xiaomeng; Dai, Qun Applied Intelligence, Vol. 48, Issue 1 https://doi.org/10.1007/s10489-017-0968-2	journal	June 2017

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