{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T15:49:54Z","timestamp":1772898594048,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10446875","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"6005-6009","source":"Crossref","is-referenced-by-count":19,"title":["Simple Contrastive Representation Learning for Time Series Forecasting"],"prefix":"10.1109","author":[{"given":"Xiaochen","family":"Zheng","sequence":"first","affiliation":[{"name":"University of Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingyu","family":"Chen","sequence":"additional","affiliation":[{"name":"ETH Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Sch\u00fcrch","sequence":"additional","affiliation":[{"name":"University of Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amina","family":"Mollaysa","sequence":"additional","affiliation":[{"name":"University of Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Allam","sequence":"additional","affiliation":[{"name":"University of Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Krauthammer","sequence":"additional","affiliation":[{"name":"University of Z&#x00FC;rich"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747274"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095778"},{"key":"ref3","article-title":"Clocs: Contrastive learning of cardiac signals across space, time, and patients","author":"Kiyasseh","year":"2021","journal-title":"ICML."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096881"},{"key":"ref5","article-title":"Neighborhood contrastive learning applied to online patient moninring","author":"Y\u00e8che","year":"2021","journal-title":"ICML"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20881"},{"key":"ref7","article-title":"CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting","author":"Woo","year":"2022","journal-title":"ICLR"},{"key":"ref8","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv preprint arXiv:1803.01271"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.07.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref12","article-title":"Unsupervised representation learning for time series with temporal neighborhood coding","author":"Tonekaboni","year":"2021","journal-title":"ICLR"},{"key":"ref13","article-title":"What makes for good views for contrastive learning?","author":"Tian","year":"2020","journal-title":"NeurIPS"},{"key":"ref14","article-title":"Utilizing expert features for contrastive learning of time-series representations","author":"Nonnenmacher","year":"2022","journal-title":"ICML"},{"key":"ref15","article-title":"Learning latent seasonal-trend representations for time series forecasting","author":"Wang","year":"2022","journal-title":"NeurIPS"},{"key":"ref16","article-title":"Unsupervised time-series representation learning with iterative bilinear temporalspectral fusion","author":"Yang","year":"2022","journal-title":"ICML"},{"key":"ref17","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018","journal-title":"arXiv preprint arXiv:1807.03748"},{"key":"ref18","article-title":"Bootstrap your own latent-a new approach to self-supervised learning","author":"Grill","year":"2020","journal-title":"NeurIPS"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref20","article-title":"How does simsiam avoid collapse without negative samples? a unified understanding with self-supervised contrastive learning","author":"Zhang","year":"2022","journal-title":"arXiv preprint arXiv:2203.16262"},{"key":"ref21","article-title":"Understanding self-supervised learning dynamics without contrastive pairs","author":"Tian","year":"2021","journal-title":"ICML"},{"key":"ref22","article-title":"Are transformers effective for time series forecasting?","author":"Zeng","year":"2022","journal-title":"arXiv preprint arXiv:2205.13504"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25575"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref25","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020","journal-title":"ICML."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2307\/2171846"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10446875.pdf?arnumber=10446875","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:27:01Z","timestamp":1722576421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10446875\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10446875","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}