{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:54:48Z","timestamp":1776887688687,"version":"3.51.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10890270","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:19Z","timestamp":1741799719000},"page":"1-5","source":"Crossref","is-referenced-by-count":4,"title":["Leave-One-EquiVariant: Alleviating Invariance-Related Information Loss in Contrastive Music Representations"],"prefix":"10.1109","author":[{"given":"Julien","family":"Guinot","sequence":"first","affiliation":[{"name":"Queen Mary University of London,School of EECS,London,U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elio","family":"Quinton","sequence":"additional","affiliation":[{"name":"Universal Music Group,Music & Audio Machine Learning Lab,London,U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gy\u00f6rgy","family":"Fazekas","sequence":"additional","affiliation":[{"name":"Queen Mary University of London,School of EECS,London,U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen"},{"key":"ref2","article-title":"Contrastive Learning of Musical Representations","volume-title":"International Society for Music Information Retrieval (ISMIR)","author":"Spijkervet"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746056"},{"key":"ref4","first-page":"67","article-title":"Tailed u-net: Multi-scale music representation learning","volume-title":"ISMIR","author":"V\u00e9lez V\u00e1squez"},{"key":"ref5","article-title":"Supervised and Unsupervised Learning of Audio Representations for Music Understanding","volume-title":"International Society for Music Information Retrieval (ISMIR)","author":"McCallum"},{"key":"ref6","article-title":"Multi-Source Contrastive Learning from Musical Audio","author":"Garoufis","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859799"},{"key":"ref8","article-title":"Semi-supervised contrastive learning of musical representations","author":"Guinot","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49660.2025.10888146"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01402"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00106"},{"key":"ref13","first-page":"27356","article-title":"Robust Contrastive Learning Using Negative Samples with Diminished Semantics","volume-title":"Advances in Neural Information Processing Systems.","volume":"34","author":"Ge","year":"2021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747669"},{"key":"ref15","first-page":"6827","article-title":"What Makes for Good Views for Contrastive Learning?","volume-title":"Advances in Neural Information Processing Systems.","volume":"33","author":"Tian","year":"2020"},{"key":"ref16","article-title":"What Should Not Be Contrastive in Contrastive Learning","author":"Xiao","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446274"},{"key":"ref18","article-title":"Improved Baselines with Momentum Contrastive Learning","author":"Chen","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746790"},{"key":"ref20","article-title":"The mtg-jamendo dataset for automatic music tagging","volume-title":"Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019)","author":"Bogdanov"},{"key":"ref21","first-page":"387","article-title":"Evaluation of algorithms using games: The case of music tagging","volume-title":"ISMIR","author":"Law"},{"key":"ref22","article-title":"End-to-end learning for music audio tagging at scale","author":"Pons","year":"2017"},{"key":"ref23","article-title":"Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections","volume-title":"Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR); 2015 Oct 26-30; M\u00e1laga, Spain.[M\u00e1laga]: International Society for Music Information Retrieval, 2015. p. 364-70","author":"Knees"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081351"},{"key":"ref25","article-title":"MARBLE: Music Audio Representation Benchmark for Universal Evaluation","author":"Yuan","year":"2023"},{"key":"ref26","first-page":"2014","article-title":"Mir_eval: A transparent implementation of common mir metrics","volume-title":"ISMIR","volume":"10","author":"Raffel"},{"key":"ref27","first-page":"1068","article-title":"Neural audio synthesis of musical notes with wavenet autoencoders","volume-title":"International Conference on Machine Learning","author":"Engel"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2002.800560"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2390848.2390861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/S1110865704408099"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447877"},{"key":"ref32","article-title":"Equivariant Self-Supervision for Musical Tempo Estimation","volume-title":"International Society for Music Information Retrieval Conference (ISMIR)","author":"Quinton"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10890270.pdf?arnumber=10890270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:37Z","timestamp":1774416157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10890270\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10890270","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}