{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:03Z","timestamp":1740100143399,"version":"3.37.3"},"reference-count":23,"publisher":"IEEE","funder":[{"DOI":"10.13039\/501100001809","name":"NSF","doi-asserted-by":"publisher","award":["1945541,1763399,1521523"],"award-info":[{"award-number":["1945541,1763399,1521523"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.23919\/date51398.2021.9473934","type":"proceedings-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:11:46Z","timestamp":1629843106000},"page":"591-596","source":"Crossref","is-referenced-by-count":0,"title":["Paired Training Framework for Time-Constrained Learning"],"prefix":"10.23919","author":[{"given":"Jung-Eun","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Bradford","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max Del","family":"Giudice","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Natural image denoising with convolutional networks","author":"jain","year":"2009","journal-title":"NIPS"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref12","first-page":"945","article-title":"Anytimenet: Controlling time-quality tradeoffs in deep neural network architectures","author":"kim","year":"0","journal-title":"Design Automation and Test in Europe Conference"},{"key":"ref13","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Technical Report"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v29i1.9513","article-title":"Recurrent convolutional neural networks for text classification","author":"lai","year":"2015","journal-title":"AAAI"},{"key":"ref15","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","volume":"abs 1609 4802","author":"ledig","year":"2016","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298958"},{"key":"ref17","first-page":"203","author":"liu","year":"1991","journal-title":"Algorithms for Scheduling Imprecise Computations"},{"key":"ref18","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume":"abs 1506 4214","author":"shi","year":"2015","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"ref4","article-title":"Dilated recurrent neural networks","author":"chang","year":"2017","journal-title":"NIPS"},{"key":"ref3","article-title":"Quasi-recurrent neural networks","volume":"abs 1611 1576","author":"bradbury","year":"2016","journal-title":"CoRR"},{"journal-title":"Defense Science Board","article-title":"Report of the defense science board on autonomy","year":"2016","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00178"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2416631"},{"key":"ref2","article-title":"End to end learning for self-driving cars","volume":"abs 1604 7316","author":"bojarski","year":"2016","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MVIP.2012.6428759"},{"key":"ref22","article-title":"Image denoising and inpainting with deep neural networks","author":"xie","year":"2012","journal-title":"NIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2017.00192"},{"key":"ref23","first-page":"43","author":"zilberstein","year":"1995","journal-title":"Approximate Reasoning Using Anytime Algorithms"}],"event":{"name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","start":{"date-parts":[[2021,2,1]]},"location":"Grenoble, France","end":{"date-parts":[[2021,2,5]]}},"container-title":["2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9473901\/9473226\/09473934.pdf?arnumber=9473934","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T00:08:35Z","timestamp":1673136515000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9473934\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":23,"URL":"https:\/\/doi.org\/10.23919\/date51398.2021.9473934","relation":{},"subject":[],"published":{"date-parts":[[2021,2,1]]}}}