{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T05:39:55Z","timestamp":1761197995958,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T00:00:00Z","timestamp":1600300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,9,17]]},"DOI":"10.1145\/3426020.3426049","type":"proceedings-article","created":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T22:52:57Z","timestamp":1636066377000},"page":"121-125","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["DPReLU: Dynamic Parametric Rectified Linear Unit"],"prefix":"10.1145","author":[{"given":"Kien","family":"Mai Ngoc","sequence":"first","affiliation":[{"name":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"}]},{"given":"Donghun","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"}]},{"given":"Iksoo","family":"Shin","sequence":"additional","affiliation":[{"name":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"}]},{"given":"Hoyong","family":"Kim","sequence":"additional","affiliation":[{"name":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"}]},{"given":"Myunggwon","family":"Hwang","sequence":"additional","affiliation":[{"name":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"}]}],"member":"320","published-online":{"date-parts":[[2021,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"arXiv preprint arXiv:1701.07875","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky , Soumith Chintala , and L\u00e9on Bottou . 2017. Wasserstein GAN. arXiv preprint arXiv:1701.07875 ( 2017 ). Martin Arjovsky, Soumith Chintala, and L\u00e9on Bottou. 2017. Wasserstein GAN. arXiv preprint arXiv:1701.07875 (2017)."},{"key":"e_1_3_2_1_2_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_3_1","volume-title":"Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision. 1440\u20131448","author":"Girshick Ross","year":"2015","unstructured":"Ross Girshick . 2015 . Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision. 1440\u20131448 . Ross Girshick. 2015. Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision. 1440\u20131448."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the fourteenth International Conference on Artificial Intelligence and Statistics. 315\u2013323","author":"Glorot Xavier","year":"2011","unstructured":"Xavier Glorot , Antoine Bordes , and Yoshua Bengio . 2011 . Deep sparse rectifier neural networks . In Proceedings of the fourteenth International Conference on Artificial Intelligence and Statistics. 315\u2013323 . Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Deep sparse rectifier neural networks. In Proceedings of the fourteenth International Conference on Artificial Intelligence and Statistics. 315\u2013323."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_7_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_8_1","unstructured":"Alex Krizhevsky Geoffrey Hinton 2009. Learning multiple layers of features from tiny images. (2009).  Alex Krizhevsky Geoffrey Hinton 2009. Learning multiple layers of features from tiny images. (2009)."},{"key":"e_1_3_2_1_9_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097\u20131105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097\u20131105."},{"key":"e_1_3_2_1_10_1","volume-title":"MNIST handwritten digit database. ATT Labs [Online]. Available: http:\/\/yann. lecun. com\/exdb\/mnist 2","author":"LeCun Yann","year":"2010","unstructured":"Yann LeCun , Corinna Cortes , and CJ Burges . 2010. MNIST handwritten digit database. ATT Labs [Online]. Available: http:\/\/yann. lecun. com\/exdb\/mnist 2 ( 2010 ). Yann LeCun, Corinna Cortes, and CJ Burges. 2010. MNIST handwritten digit database. ATT Labs [Online]. Available: http:\/\/yann. lecun. com\/exdb\/mnist 2 (2010)."},{"key":"e_1_3_2_1_11_1","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"Maas Andrew L","year":"2013","unstructured":"Andrew L Maas , Awni Y Hannun , and Andrew Y Ng . 2013 . Rectifier nonlinearities improve neural network acoustic models . In Proc. ICML , Vol. 30. 3 . Andrew L Maas, Awni Y Hannun, and Andrew Y Ng. 2013. Rectifier nonlinearities improve neural network acoustic models. In Proc. ICML, Vol. 30. 3.","journal-title":"Proc. ICML"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"e_1_3_2_1_13_1","volume-title":"Activation functions: Comparison of trends in practice and research for deep learning. arXiv preprint arXiv:1811.03378","author":"Nwankpa Chigozie","year":"2018","unstructured":"Chigozie Nwankpa , Winifred Ijomah , Anthony Gachagan , and Stephen Marshall . 2018. Activation functions: Comparison of trends in practice and research for deep learning. arXiv preprint arXiv:1811.03378 ( 2018 ). Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, and Stephen Marshall. 2018. Activation functions: Comparison of trends in practice and research for deep learning. arXiv preprint arXiv:1811.03378 (2018)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2508603"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546022"},{"key":"e_1_3_2_1_16_1","volume-title":"Activation functions in neural networks. Towards Data Science 6","author":"Sharma Sagar","year":"2017","unstructured":"Sagar Sharma . 2017. Activation functions in neural networks. Towards Data Science 6 ( 2017 ). Sagar Sharma. 2017. Activation functions in neural networks. Towards Data Science 6 (2017)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298188"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.00038"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2591583"}],"event":{"name":"SMA 2020: The 9th International Conference on Smart Media and Applications","acronym":"SMA 2020","location":"Jeju Republic of Korea"},"container-title":["The 9th International Conference on Smart Media and Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3426020.3426049","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3426020.3426049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:24Z","timestamp":1750195464000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3426020.3426049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,17]]},"references-count":20,"alternative-id":["10.1145\/3426020.3426049","10.1145\/3426020"],"URL":"https:\/\/doi.org\/10.1145\/3426020.3426049","relation":{},"subject":[],"published":{"date-parts":[[2020,9,17]]},"assertion":[{"value":"2021-11-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}