{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T21:40:37Z","timestamp":1776807637241,"version":"3.51.2"},"reference-count":27,"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\/icassp48485.2024.10447053","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"6515-6519","source":"Crossref","is-referenced-by-count":2,"title":["EPA: Neural Collapse Inspired Robust Out-of-distribution Detector"],"prefix":"10.1109","author":[{"given":"Jiawei","family":"Zhang","sequence":"first","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufan","family":"Chen","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA,College of Communication Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Jin","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA,College of Communication Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuantao","family":"Gu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Enhancing the reliability of out-of-distribution image detection in neural networks","volume-title":"International Conference on Learning Representations","author":"Liang"},{"key":"ref2","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume-title":"International Conference on Learning Representations","author":"Hendrycks"},{"key":"ref3","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume":"33","author":"Liu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref4","article-title":"Scaling out-of-distribution detection for real-world settings","volume-title":"International Conference on Machine Learning","author":"Basart"},{"key":"ref5","first-page":"23631","article-title":"Mitigating neural network overconfidence with logit normalization","volume-title":"International Conference on Machine Learning","author":"Wei"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00487"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19806-9_34"},{"key":"ref8","article-title":"Out-of-distribution detection with subspace techniques and probabilistic modeling of features","author":"Ndiour","year":"2020"},{"key":"ref9","first-page":"144","article-title":"React: Out-of-distribution detection with rectified activations","volume":"34","author":"Sun","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","first-page":"20827","article-title":"Out-of-distribution detection with deep nearest neighbors","volume-title":"International Conference on Machine Learning","author":"Sun"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00330"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02293"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2015509117"},{"key":"ref14","article-title":"Neural collapse under mse loss: Proximity to and dynamics on the central path","volume-title":"International Conference on Learning Representations","author":"Han"},{"key":"ref15","first-page":"29820","article-title":"A geometric analysis of neural collapse with unconstrained features","volume":"34","author":"Zhu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref16","article-title":"On the role of neural collapse in transfer learning","volume-title":"International Conference on Learning Representations","author":"Galanti"},{"key":"ref17","article-title":"Neural collapse inspired feature-classifier alignment for few-shot class-incremental learning","volume-title":"The Eleventh International Conference on Learning Representations","author":"Yang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_34"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00508"},{"key":"ref20","article-title":"Linking neural collapse and l2 normalization with improved out-of-distribution detection in deep neural networks","author":"Haas","year":"2022","journal-title":"Transactions on Machine Learning Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00065"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.461"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01501"},{"key":"ref27","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","volume-title":"International Conference on Learning Representations","author":"Hendrycks"}],"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\/10447053.pdf?arnumber=10447053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:33:25Z","timestamp":1722573205000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447053","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}