{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:43:34Z","timestamp":1740102214404,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,9]]},"DOI":"10.1109\/dac56929.2023.10247920","type":"proceedings-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T17:31:31Z","timestamp":1694799091000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning"],"prefix":"10.1109","author":[{"given":"Yonggan","family":"Fu","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Shang","family":"Wu","sequence":"additional","affiliation":[{"name":"Rice University"}]},{"given":"Jiayi","family":"Yuan","sequence":"additional","affiliation":[{"name":"Rice University"}]},{"given":"Yingyan Celine","family":"Lin","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]}],"member":"263","reference":[{"article-title":"How well do sparse imagenet models transfer?","year":"2021","author":"iofinova","key":"ref13"},{"article-title":"A large-scale study of representation learning with the visual task adaptation benchmark","year":"2019","author":"zhai","key":"ref24"},{"key":"ref12","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00900"},{"article-title":"Towards practical lottery ticket hypothesis for adversarial training","year":"2020","author":"li","key":"ref15"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"article-title":"Adversarial training for free!","year":"2019","author":"shafahi","key":"ref20"},{"article-title":"Explaining and harnessing adversarial examples","year":"2014","author":"goodfellow","key":"ref11"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00090"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480082"},{"key":"ref21","article-title":"Cnn features off-the-shelf: an astounding baseline for recognition","author":"sharif razavian","year":"2014","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01604"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_29"},{"key":"ref17","article-title":"What’s hidden in a randomly weighted neural network?","author":"ramanujan","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"article-title":"Towards deep learning models resistant to adversarial attacks","year":"2017","author":"madry","key":"ref16"},{"key":"ref19","article-title":"Do adversarially robust imagenet models transfer better?","author":"salman","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref8","article-title":"Drawing robust scratch tickets: Subnetworks with inborn robustness are found within randomly initialized networks","author":"fu","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Double-win quant: Aggressively winning robustness of quantized deep neural networks via random precision training and inference","author":"fu","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref9","article-title":"Losses can be blessings: Routing self-supervised speech representations towards efficient multilingual and multitask speech processing","author":"fu","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Adversarial training helps transfer learning via better representations","author":"deng","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref3","article-title":"Certified adversarial robustness via randomized smoothing","author":"cohen","year":"2019","journal-title":"International Conference on Machine Learning"},{"article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","year":"2018","author":"frankle","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"}],"event":{"name":"2023 60th ACM\/IEEE Design Automation Conference (DAC)","start":{"date-parts":[[2023,7,9]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2023,7,13]]}},"container-title":["2023 60th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10247654\/10247655\/10247920.pdf?arnumber=10247920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:42:10Z","timestamp":1696268530000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/dac56929.2023.10247920","relation":{},"subject":[],"published":{"date-parts":[[2023,7,9]]}}}