{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:50:58Z","timestamp":1775155858933,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T00:00:00Z","timestamp":1625616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"H2020","award":["101016577"],"award-info":[{"award-number":["101016577"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,7]]},"DOI":"10.1145\/3449726.3463146","type":"proceedings-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T14:49:57Z","timestamp":1625755797000},"page":"1726-1734","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Pareto-optimal progressive neural architecture search"],"prefix":"10.1145","author":[{"given":"Eugenio","family":"Lomurno","sequence":"first","affiliation":[{"name":"Politecnico di Milano, Milan, Italy"}]},{"given":"Stefano","family":"Samele","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, Milan, Italy"}]},{"given":"Matteo","family":"Matteucci","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, Milan, Italy"}]},{"given":"Danilo","family":"Ardagna","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, Milan, Italy"}]}],"member":"320","published-online":{"date-parts":[[2021,7,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Differential Evolution for Neural Architecture Search. arXiv preprint arXiv:2012.06400","author":"Awad Noor","year":"2020","unstructured":"Noor Awad , Neeratyoy Mallik , and Frank Hutter . 2020. Differential Evolution for Neural Architecture Search. arXiv preprint arXiv:2012.06400 ( 2020 ). Noor Awad, Neeratyoy Mallik, and Frank Hutter. 2020. Differential Evolution for Neural Architecture Search. arXiv preprint arXiv:2012.06400 (2020)."},{"key":"e_1_3_2_1_2_1","volume-title":"Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167","author":"Baker Bowen","year":"2016","unstructured":"Bowen Baker , Otkrist Gupta , Nikhil Naik , and Ramesh Raskar . 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 ( 2016 ). Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar. 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016)."},{"key":"e_1_3_2_1_3_1","volume-title":"Hyperopt: Distributed asynchronous hyper-parameter optimization. Retrieved May 21","author":"Bergstra James","year":"2012","unstructured":"James Bergstra , Daniel Yamins , and David Cox . 2012 . Hyperopt: Distributed asynchronous hyper-parameter optimization. Retrieved May 21 (2012), 2020. James Bergstra, Daniel Yamins, and David Cox. 2012. Hyperopt: Distributed asynchronous hyper-parameter optimization. Retrieved May 21 (2012), 2020."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11709"},{"key":"e_1_3_2_1_5_1","volume-title":"Net2net: Accelerating learning via knowledge transfer. arXiv preprint arXiv:1511.05641","author":"Chen Tianqi","year":"2015","unstructured":"Tianqi Chen , Ian Goodfellow , and Jonathon Shlens . 2015. Net2net: Accelerating learning via knowledge transfer. arXiv preprint arXiv:1511.05641 ( 2015 ). Tianqi Chen, Ian Goodfellow, and Jonathon Shlens. 2015. Net2net: Accelerating learning via knowledge transfer. arXiv preprint arXiv:1511.05641 (2015)."},{"key":"e_1_3_2_1_6_1","unstructured":"Tianqi Chen Tong He Michael Benesty Vadim Khotilovich Yuan Tang Hyunsu Cho etal 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1 4 (2015).  Tianqi Chen Tong He Michael Benesty Vadim Khotilovich Yuan Tang Hyunsu Cho et al. 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1 4 (2015)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.  J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_9_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"e_1_3_2_1_11_1","unstructured":"Alex Krizhevsky Vinod Nair and Geoffrey Hinton. [n.d.]. CIFAR-10 (Canadian Institute for Advanced Research). ([n.d.]). http:\/\/www.cs.toronto.edu\/~kriz\/cifar.html  Alex Krizhevsky Vinod Nair and Geoffrey Hinton. [n.d.]. CIFAR-10 (Canadian Institute for Advanced Research). ([n.d.]). http:\/\/www.cs.toronto.edu\/~kriz\/cifar.html"},{"key":"e_1_3_2_1_12_1","volume-title":"Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey E Hinton . 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 ( 2012 ), 1097--1105. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012), 1097--1105."},{"key":"e_1_3_2_1_13_1","volume-title":"a-MLLibrary. https:\/\/github.com\/eubr-atmosphere\/a-MLLibrary. [Online","author":"Lattuada Marco","year":"2020","unstructured":"Marco Lattuada . 2019. a-MLLibrary. https:\/\/github.com\/eubr-atmosphere\/a-MLLibrary. [Online ; accessed 28- March - 2020 ]. Marco Lattuada. 2019. a-MLLibrary. https:\/\/github.com\/eubr-atmosphere\/a-MLLibrary. [Online; accessed 28-March-2020]."},{"key":"e_1_3_2_1_14_1","volume-title":"Improved differentiable architecture search with early stopping. arXiv preprint arXiv:1909.06035","author":"Liang Hanwen","year":"2019","unstructured":"Hanwen Liang , Shifeng Zhang , Jiacheng Sun , Xingqiu He , Weiran Huang , Kechen Zhuang , and Zhenguo Li. 2019. Darts+ : Improved differentiable architecture search with early stopping. arXiv preprint arXiv:1909.06035 ( 2019 ). Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, and Zhenguo Li. 2019. Darts+: Improved differentiable architecture search with early stopping. arXiv preprint arXiv:1909.06035 (2019)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"e_1_3_2_1_16_1","volume-title":"Hierarchical representations for efficient architecture search. arXiv preprint arXiv:1711.00436","author":"Liu Hanxiao","year":"2017","unstructured":"Hanxiao Liu , Karen Simonyan , Oriol Vinyals , Chrisantha Fernando , and Koray Kavukcuoglu . 2017. Hierarchical representations for efficient architecture search. arXiv preprint arXiv:1711.00436 ( 2017 ). Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, and Koray Kavukcuoglu. 2017. Hierarchical representations for efficient architecture search. arXiv preprint arXiv:1711.00436 (2017)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3115\/1075812.1075835"},{"key":"e_1_3_2_1_18_1","first-page":"379","article-title":"Designing Neural Networks using Genetic Algorithms","volume":"89","author":"Miller Geoffrey F","year":"1989","unstructured":"Geoffrey F Miller , Peter M Todd , and Shailesh U Hegde . 1989 . Designing Neural Networks using Genetic Algorithms .. In ICGA , Vol. 89. 379 -- 384 . Geoffrey F Miller, Peter M Todd, and Shailesh U Hegde. 1989. Designing Neural Networks using Genetic Algorithms.. In ICGA, Vol. 89. 379--384.","journal-title":"ICGA"},{"key":"e_1_3_2_1_19_1","volume-title":"International Conference on Machine Learning. PMLR, 2902--2911","author":"Real Esteban","year":"2017","unstructured":"Esteban Real , Sherry Moore , Andrew Selle , Saurabh Saxena , Yutaka Leon Suematsu , Jie Tan , Quoc V Le , and Alexey Kurakin . 2017 . Large-scale evolution of image classifiers . In International Conference on Machine Learning. PMLR, 2902--2911 . Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V Le, and Alexey Kurakin. 2017. Large-scale evolution of image classifiers. In International Conference on Machine Learning. PMLR, 2902--2911."},{"key":"e_1_3_2_1_20_1","volume-title":"Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347","author":"Schulman John","year":"2017","unstructured":"John Schulman , Filip Wolski , Prafulla Dhariwal , Alec Radford , and Oleg Klimov . 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 ( 2017 ). John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 (2017)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"e_1_3_2_1_22_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_23_1","volume-title":"Practical bayesian optimization of machine learning algorithms. arXiv preprint arXiv:1206.2944","author":"Snoek Jasper","year":"2012","unstructured":"Jasper Snoek , Hugo Larochelle , and Ryan P Adams . 2012. Practical bayesian optimization of machine learning algorithms. arXiv preprint arXiv:1206.2944 ( 2012 ). Jasper Snoek, Hugo Larochelle, and Ryan P Adams. 2012. Practical bayesian optimization of machine learning algorithms. arXiv preprint arXiv:1206.2944 (2012)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071229"},{"key":"e_1_3_2_1_25_1","volume-title":"Inception-ResNet and the impact of residual connections on learning. arXiv preprint arXiv:1602.07261","author":"Szegedy Christian","year":"2016","unstructured":"Christian Szegedy , Christian Ioffe , Vincent Vanhoucke , and Alex Alemi . 2016. Inception-ResNet and the impact of residual connections on learning. arXiv preprint arXiv:1602.07261 ( 2016 ). Christian Szegedy, Christian Ioffe, Vincent Vanhoucke, and Alex Alemi. 2016. Inception-ResNet and the impact of residual connections on learning. arXiv preprint arXiv:1602.07261 (2016)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_28_1","volume-title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning 8, 3-4","author":"Williams Ronald J","year":"1992","unstructured":"Ronald J Williams . 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning 8, 3-4 ( 1992 ), 229--256. Ronald J Williams. 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning 8, 3-4 (1992), 229--256."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_1_30_1","volume-title":"SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926","author":"Xie Sirui","year":"2018","unstructured":"Sirui Xie , Hehui Zheng , Chunxiao Liu , and Liang Lin . 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926 ( 2018 ). Sirui Xie, Hehui Zheng, Chunxiao Liu, and Liang Lin. 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926 (2018)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"e_1_3_2_1_32_1","volume-title":"Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578","author":"Zoph Barret","year":"2016","unstructured":"Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 ( 2016 ). Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 (2016)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"}],"event":{"name":"GECCO '21: Genetic and Evolutionary Computation Conference","location":"Lille France","acronym":"GECCO '21","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449726.3463146","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3449726.3463146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:35Z","timestamp":1750191515000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449726.3463146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,7]]},"references-count":33,"alternative-id":["10.1145\/3449726.3463146","10.1145\/3449726"],"URL":"https:\/\/doi.org\/10.1145\/3449726.3463146","relation":{},"subject":[],"published":{"date-parts":[[2021,7,7]]},"assertion":[{"value":"2021-07-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}