{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T04:57:07Z","timestamp":1725598627526},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9414071","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"531-535","source":"Crossref","is-referenced-by-count":1,"title":["Unified Gradient Reweighting for Model Biasing with Applications to Source Separation"],"prefix":"10.1109","author":[{"given":"Efthymios","family":"Tzinis","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios","family":"Bralios","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paris","family":"Smaragdis","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231926"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1903070116"},{"key":"ref11","article-title":"Towards stable and efficient training of verifiably robust neural networks","author":"zhang","year":"2020","journal-title":"Proc ICLR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1175\/JHM-D-16-0247.1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_23"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2989"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2017.8170038"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref17","first-page":"1002","article-title":"Active bias: Training more accurate neural networks by emphasizing high variance samples","author":"chang","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"4334","article-title":"Learning to reweight examples for robust deep learning","author":"ren","year":"2018","journal-title":"Proc ICML"},{"key":"ref19","first-page":"2525","article-title":"Not all samples are created equal: Deep learning with importance sampling","author":"katharopoulos","year":"2018","journal-title":"Proc ICML"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231900"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3007779"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806390"},{"article-title":"Wavesplit: End-to-end speech separation by speaker clustering","year":"2020","author":"zeghidour","key":"ref3"},{"article-title":"Music source separation in the waveform domain","year":"2019","author":"d\u00e9fossez","key":"ref6"},{"key":"ref29","first-page":"626","article-title":"Sdr–half-baked or well done?","author":"le roux","year":"2019","journal-title":"Proc ICASSP"},{"key":"ref5","article-title":"Voice separation with an unknown number of multiple speakers","author":"nachmani","year":"2020","journal-title":"Proc ICML"},{"key":"ref8","first-page":"96","article-title":"Improving universal sound separation using sound classification","author":"tzinis","year":"2020","journal-title":"Proc ICASSP"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2019.8937253"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2915167"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.1.1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/78.726803"},{"key":"ref20","article-title":"Not all unlabeled data are equal: Learning to weight data in semi-supervised learning","author":"ren","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2828308"},{"key":"ref21","first-page":"872","article-title":"What is the effect of importance weighting in deep learning?","author":"byrd","year":"2019","journal-title":"Proc ICML"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054172"},{"key":"ref23","article-title":"Unsupervised sound separation using mixtures of mixtures","author":"wisdom","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1075527.1075614"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471631"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09414071.pdf?arnumber=9414071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:18:31Z","timestamp":1659485911000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9414071\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9414071","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}