{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:48:09Z","timestamp":1776181689330,"version":"3.50.1"},"reference-count":217,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013088","name":"Qinglan Project of Jiangsu Province of China","doi-asserted-by":"publisher","award":["2021"],"award-info":[{"award-number":["2021"]}],"id":[{"id":"10.13039\/501100013088","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Development Fund of XJTLU","award":["RDF-20-01-18"],"award-info":[{"award-number":["RDF-20-01-18"]}]},{"DOI":"10.13039\/501100018556","name":"Science and Technology Program of Suzhou","doi-asserted-by":"publisher","award":["SYG202106"],"award-info":[{"award-number":["SYG202106"]}],"id":[{"id":"10.13039\/501100018556","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tai.2024.3445892","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T13:40:13Z","timestamp":1724074813000},"page":"5894-5914","source":"Crossref","is-referenced-by-count":19,"title":["A Review on Transferability Estimation in Deep Transfer Learning"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3310-4864","authenticated-orcid":false,"given":"Yihao","family":"Xue","sequence":"first","affiliation":[{"name":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5634-5476","authenticated-orcid":false,"given":"Rui","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6462-4216","authenticated-orcid":false,"given":"Xiaohan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8169-3261","authenticated-orcid":false,"given":"Weibo","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9576-7401","authenticated-orcid":false,"given":"Zidong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1589-1267","authenticated-orcid":false,"given":"Xiaohui","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2015.2477680"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09958-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00653"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00778"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2021.3076974"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5690-0"},{"key":"ref7","first-page":"21428","article-title":"Geometric dataset distances via optimal transport","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"33","author":"Alvarez-Melis","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/isit45174.2021.9518043"},{"key":"ref9","first-page":"7234","article-title":"Chaining mutual information and tightening generalization bounds","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"31","author":"Asadi","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13040738"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803726"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45167-9_41"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/76359.76371"},{"key":"ref15","first-page":"19301","article-title":"Scalable diverse model selection for accessible transfer learning","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"34","author":"Bolya","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5499-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5736"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2022.2052995"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/21M1410634"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3067786"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.042"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3065894"},{"key":"ref23","article-title":"On generalization bounds of a family of recurrent neural networks","author":"Chen","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3053511"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3191869"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110239"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109151"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3244237"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3195355"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102033"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3362343"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3009582"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896107"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00432"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref37","article-title":"Inadequately pre-trained models are better feature extractors","author":"Deng","year":"2022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00398"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_15"},{"key":"ref40","article-title":"ZooD: Exploiting model zoo for out-of-distribution generalization","author":"Dong","year":"2022"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01267"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_30"},{"key":"ref43","article-title":"Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data","author":"Dziugaite","year":"2017"},{"key":"ref44","article-title":"Generalization bounds for unsupervised and semi-supervised learning with autoencoders","author":"Epstein","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2021.3066428"},{"key":"ref46","article-title":"On the transferability of representations in neural networks between datasets and tasks","author":"Fayek","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.09.012"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2022.2075950"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89817-5_9"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxs092"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.04.006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01706"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-008-0378-9"},{"key":"ref54","article-title":"Task relatedness-based generalization bounds for meta learning","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Guan","year":"2021"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-016-0634-8"},{"key":"ref56","article-title":"KITE: A kernel-based improved transferability estimation method","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR), Paper Under Double-Bind Review","author":"Guo","year":"2024"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0926-z"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2273\/1\/012029"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-014-1011-7"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i6.25946"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2966319"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03755-2"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3151724"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICISS49785.2020.9316065"},{"key":"ref65","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref68","first-page":"9201","article-title":"Frustratingly easy transferability estimation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Huang","year":"2022"},{"key":"ref69","first-page":"19423","article-title":"Exploiting a zoo of checkpoints for unseen tasks","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"34","author":"Huang","year":"2021"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3042300"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.3390\/technologies11020040"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2022.07.117"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2947780"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2901273"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2019.2963873"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3133938"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108934"},{"key":"ref78","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3136175"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130193"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23231-7_1"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5588-2"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22768-y"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2893916"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2927590"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2020.3025615"},{"key":"ref89","article-title":"MoTSE: An interpretable task similarity estimator for small molecular property prediction tasks","author":"Li","year":"2021","journal-title":"bioRxiv"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.114"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00269"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3105621"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2022.105231"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3247883"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3282664"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0201006"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.11.009"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2022.2110541"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.04.012"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10771"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2544314"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.11.019"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/iccvw.2019.00167"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014360"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2022.3141783"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106796"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.11.011"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11111752"},{"issue":"221","key":"ref109","first-page":"7808","article-title":"Stability and generalization in structured prediction","volume":"17","author":"London","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref110","first-page":"1595","article-title":"Learning multiple tasks with multilinear relationship networks","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"30","author":"Long","year":"2017"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/ITW.2018.8613445"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2020.1836526"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.119322"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3105449"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108586"},{"key":"ref116","article-title":"Domain adaptation: Learning bounds and algorithms","author":"Mansour","year":"2009"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5109-7"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3106705"},{"key":"ref119","first-page":"5948","article-title":"Exploring generalization in deep learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"30","author":"Neyshabur","year":"2017"},{"key":"ref120","first-page":"512","article-title":"What is being transferred in transfer learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"33","author":"Neyshabur","year":"2020"},{"key":"ref121","first-page":"7294","article-title":"LEEP: A new measure to evaluate transferability of learned representations","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"119","author":"Nguyen","year":"2020"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390169"},{"key":"ref123","first-page":"1510","article-title":"Simple transferability estimation for regression tasks","volume-title":"Proc. Conf. Uncertainty. Intell. (UAI)","author":"Nguyen","year":"2023"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2021.3054609"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/tci.2020.3018562"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.08.015"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.183"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2015.2464183"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2009.191"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00896"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1561\/2200000073"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.827"},{"key":"ref134","article-title":"Transferability estimation based on principal gradient expectation","author":"Qi","year":"2022"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2846566"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2020.1792579"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2023.3288851"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-015-0821-z"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.03.006"},{"key":"ref141","article-title":"Model selection, adaptation, and combination for deep transfer learning through neural networks in renewable energies","author":"Schreiber","year":"2022"},{"key":"ref142","first-page":"182","article-title":"Selective functional transfer: Inductive bias from related tasks","volume-title":"Proc. Int. Conf. Artif. Intell. Soft Comput. (ICAISC)","author":"Silver","year":"2001"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2022.3221912"},{"key":"ref144","first-page":"3076","article-title":"Estimating individual treatment effect: Generalization bounds and algorithms","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Shalit","year":"2017"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_17"},{"key":"ref146","first-page":"2371","article-title":"Interest inference via structure-constrained multi-source multi-task learning","volume-title":"Proc. Adv. Int. Joint Conf. Artif. Intell. (IJCAI)","author":"Song","year":"2015"},{"key":"ref147","article-title":"Deep model transferability from attribution maps","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"32","author":"Song","year":"2019"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00398"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.2979486"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2021.3066565"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0101005"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2016.2535302"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.125"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10826"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01552"},{"key":"ref157","article-title":"Practical transferability estimation for image classification tasks","author":"Tan","year":"2021"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3358094"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/icip49359.2023.10222912"},{"key":"ref160","first-page":"10141","article-title":"REPAINT: Knowledge transfer in deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Tao","year":"2021"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.078"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.002"},{"key":"ref163","first-page":"26103","article-title":"A mathematical framework for quantifying transferability in multi-source transfer learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"34","author":"Tong","year":"2021"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2011.5995347"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00148"},{"key":"ref166","first-page":"11609","article-title":"Building a winning team: Selecting source model ensembles using a submodular transferability estimation approach","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. (ICCV)","author":"Vimal","year":"2023"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.84.5.249"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.635"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2022.3172272"},{"key":"ref170","article-title":"The Caltech-UCSD Birds-200-2011 Dataset","author":"Wah","year":"2011"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.09.017"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2018.2791721"},{"key":"ref173","article-title":"Neural taskonomy: Inferring the similarity of task-derived representations from brain activity","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"32","author":"Wang","year":"2019"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.100"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3168903"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3220302"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3055564"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi.2023.100005"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00511"},{"key":"ref180","first-page":"5085","article-title":"Transfer learning via learning to transfer","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Wei","year":"2018"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2754287"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3014697"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109542"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.107848"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref186","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref187","article-title":"Learning by erasing: Conditional entropy based transferable out-of-distribution detection","author":"Xing","year":"2022"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2669193"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2958299"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3157139"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3298653"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3095804"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2022.2063968"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1186\/s13007-022-00866-2"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109526"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.01.058"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.189"},{"key":"ref198","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NIPS)","volume":"27","author":"Yosinski","year":"2014"},{"key":"ref199","first-page":"12133","article-title":"LogME: Practical assessment of pre-trained models for transfer learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"139","author":"You","year":"2021"},{"key":"ref200","first-page":"1","article-title":"Ranking and tuning pre-trained models: A new paradigm for exploiting model hubs","volume":"23","author":"You","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.3390\/math10193619"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0101007"},{"key":"ref203","article-title":"Multi-source few-shot domain adaptation","author":"Yue","year":"2021"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00391"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/435"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx105"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3007637"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/jas.2022.106004"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2021.3100641"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2021.3090902"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2961881"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3237639"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015376"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3209632"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0101006"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3098253"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/10794552\/10639517.pdf?arnumber=10639517","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:50:43Z","timestamp":1756155043000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10639517\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":217,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3445892","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}