{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:56Z","timestamp":1750309376532,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"JSPS Kakenhi","award":["23K11222"],"award-info":[{"award-number":["23K11222"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,24]]},"DOI":"10.1145\/3686397.3686412","type":"proceedings-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T04:28:51Z","timestamp":1732595331000},"page":"90-94","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Ensemble OOD Detection with Norm-enhancing Representation Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4822-2804","authenticated-orcid":false,"given":"Shin","family":"Ando","sequence":"first","affiliation":[{"name":"School of Management, Tokyo University of Science, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5452-4663","authenticated-orcid":false,"given":"Takeshi","family":"Kounoike","sequence":"additional","affiliation":[{"name":"School of Management, Tokyo University of Science, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,25]]},"reference":[{"key":"e_1_3_3_1_2_2","series-title":"Proceedings of Machine Learning Research","first-page":"1597","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0119), Hal\u00a0Daum\u00e9 III and Aarti Singh (Eds.). PMLR, 1597\u20131607. https:\/\/proceedings.mlr.press\/v119\/chen20j.html"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.461"},{"key":"e_1_3_3_1_4_2","volume-title":"Advances in Neural Information Processing Systems","author":"Fang Zhen","year":"2022","unstructured":"Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, and Feng Liu. 2022. Is Out-of-Distribution Detection Learnable?. In Advances in Neural Information Processing Systems, Alice\u00a0H. Oh, Alekh Agarwal, Danielle Belgrave, and Kyunghyun Cho (Eds.)."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.5555\/3327546.3327644"},{"key":"e_1_3_3_1_6_2","series-title":"Proceedings of Machine Learning Research","first-page":"8759","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Hendrycks Dan","year":"2022","unstructured":"Dan Hendrycks, Steven Basart, Mantas Mazeika, Andy Zou, Joseph Kwon, Mohammadreza Mostajabi, Jacob Steinhardt, and Dawn Song. 2022. Scaling Out-of-Distribution Detection for Real-World Settings. In Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162), Kamalika Chaudhuri, Stefanie Jegelka, Le\u00a0Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 8759\u20138773. https:\/\/proceedings.mlr.press\/v162\/hendrycks22a.html"},{"key":"e_1_3_3_1_7_2","volume-title":"International Conference on Learning Representations ICLR (Poster)","author":"Hendrycks Dan","year":"2017","unstructured":"Dan Hendrycks and Kevin Gimpel. 2017. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.. In International Conference on Learning Representations ICLR (Poster). OpenReview.net. http:\/\/dblp.uni-trier.de\/db\/conf\/iclr\/iclr2017.html#HendrycksG17"},{"key":"e_1_3_3_1_8_2","volume-title":"International Conference on Learning Representations","author":"Hendrycks Dan","year":"2019","unstructured":"Dan Hendrycks, Mantas Mazeika, and Thomas\u00a0G. Dietterich. 2019. Deep Anomaly Detection with Outlier Exposure.. In International Conference on Learning Representations. OpenReview.net. http:\/\/dblp.uni-trier.de\/db\/conf\/iclr\/iclr2019.html#HendrycksMD19"},{"key":"e_1_3_3_1_9_2","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual","author":"Khosla Prannay","year":"2020","unstructured":"Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. 2020. Supervised Contrastive Learning. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, Hugo Larochelle, Marc\u2019Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/d89a66c7c80a29b1bdbab0f2a1a94af8-Abstract.html"},{"key":"e_1_3_3_1_10_2","first-page":"32","volume-title":"Learning Multiple Layers of Features from Tiny Images","author":"Krizhevsky Alex","year":"2009","unstructured":"Alex Krizhevsky. 2009. Learning Multiple Layers of Features from Tiny Images. Technical Report. University of Toronto. 32\u201333 pages. https:\/\/www.cs.toronto.edu\/\u00a0kriz\/learning-features-2009-TR.pdf"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403189"},{"key":"e_1_3_3_1_12_2","volume-title":"Advances in Neural Information Processing Systems","author":"Lee Kimin","year":"2018","unstructured":"Kimin Lee, Kibok Lee, Honglak Lee, and Jinwoo Shin. 2018. A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. In Advances in Neural Information Processing Systems , S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.), Vol.\u00a031. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/abdeb6f575ac5c6676b747bca8d09cc2-Paper.pdf"},{"key":"e_1_3_3_1_13_2","volume-title":"The Eleventh International Conference on Learning Representations","author":"Ming Yifei","year":"2023","unstructured":"Yifei Ming, Yiyou Sun, Ousmane Dia, and Yixuan Li. 2023. How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?. In The Eleventh International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=aEFaE0W5pAd"},{"key":"e_1_3_3_1_14_2","unstructured":"Yuval Netzer Tao Wang Adam Coates Alessandro Bissacco Bo Wu and Andrew\u00a0Y. Ng. 2011. Reading Digits in Natural Images with Unsupervised Feature Learning. (2011). http:\/\/ufldl.stanford.edu\/housenumbers\/nips2011_housenumbers.pdf"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","unstructured":"Genki Osada Takahashi Tsubasa Budrul Ahsan and Takashi Nishide. 2022. Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. CoRR abs\/2212.12641 (2022). 10.48550\/arXiv.2212.12641","DOI":"10.48550\/arXiv.2212.12641"},{"key":"e_1_3_3_1_16_2","volume-title":"Advances in Neural Information Processing Systems","author":"Pidhorskyi Stanislav","year":"2018","unstructured":"Stanislav Pidhorskyi, Ranya Almohsen, and Gianfranco Doretto. 2018. Generative Probabilistic Novelty Detection with Adversarial Autoencoders. In Advances in Neural Information Processing Systems , S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.), Vol.\u00a031. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/5421e013565f7f1afa0cfe8ad87a99ab-Paper.pdf"},{"key":"e_1_3_3_1_17_2","series-title":"Proceedings of Machine Learning Research","first-page":"20827","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Sun Yiyou","year":"2022","unstructured":"Yiyou Sun, Yifei Ming, Xiaojin Zhu, and Yixuan Li. 2022. Out-of-Distribution Detection with Deep Nearest Neighbors. In Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162), Kamalika Chaudhuri, Stefanie Jegelka, Le\u00a0Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 20827\u201320840. https:\/\/proceedings.mlr.press\/v162\/sun22d.html"},{"key":"e_1_3_3_1_18_2","first-page":"11839","volume-title":"Advances in Neural Information Processing Systems","author":"Tack Jihoon","year":"2020","unstructured":"Jihoon Tack, Sangwoo Mo, Jongheon Jeong, and Jinwoo Shin. 2020. CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. In Advances in Neural Information Processing Systems , H.\u00a0Larochelle, M.\u00a0Ranzato, R.\u00a0Hadsell, M.F. Balcan, and H.\u00a0Lin (Eds.), Vol.\u00a033. Curran Associates, Inc., 11839\u201311852. https:\/\/proceedings.neurips.cc\/paper\/2020\/file\/8965f76632d7672e7d3cf29c87ecaa0c-Paper.pdf"},{"key":"e_1_3_3_1_19_2","volume-title":"International Conference on Learning Representations","author":"Vaze Sagar","year":"2022","unstructured":"Sagar Vaze, Kai Han, Andrea Vedaldi, and Andrew Zisserman. 2022. Open-Set Recognition: A Good Closed-Set Classifier is All You Need. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=5hLP5JY9S2d"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Mengyu Wang Yijia Shao Haowei Lin Wenpeng Hu and Bing Liu. 2022. CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. (2022).","DOI":"10.1007\/978-3-031-26412-2_31"},{"key":"e_1_3_3_1_21_2","series-title":"Proceedings of Machine Learning Research","first-page":"23631","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Wei Hongxin","year":"2022","unstructured":"Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, and Yixuan Li. 2022. Mitigating Neural Network Overconfidence with Logit Normalization. In Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162), Kamalika Chaudhuri, Stefanie Jegelka, Le\u00a0Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 23631\u201323644. https:\/\/proceedings.mlr.press\/v162\/wei22d.html"},{"key":"e_1_3_3_1_22_2","unstructured":"Pingmei Xu Krista\u00a0A. Ehinger Yinda Zhang Adam Finkelstein Sanjeev\u00a0R. Kulkarni and Jianxiong Xiao. 2015. Crowdsourcing Saliency with Webcam based Eye Tracking. CoRR abs\/1504.06755 (2015). http:\/\/dblp.uni-trier.de\/db\/journals\/corr\/corr1504.html#XuEZFKX15"},{"key":"e_1_3_3_1_23_2","volume-title":"Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track","author":"Yang Jingkang","year":"2022","unstructured":"Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, WENXUAN PENG, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, and Ziwei Liu. 2022. OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. https:\/\/openreview.net\/forum?id=gT6j4_tskUt"},{"key":"e_1_3_3_1_24_2","unstructured":"Jingkang Yang Kaiyang Zhou Yixuan Li and Ziwei Liu. 2021. Generalized Out-of-Distribution Detection: A Survey. CoRR abs\/2110.11334 (2021). arXiv:https:\/\/arXiv.org\/abs\/2110.11334https:\/\/arxiv.org\/abs\/2110.11334"},{"key":"e_1_3_3_1_25_2","volume-title":"Advances in Neural Information Processing Systems","author":"Ye Haotian","year":"2021","unstructured":"Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, and Liwei Wang. 2021. Towards a Theoretical Framework of Out-of-Distribution Generalization. In Advances in Neural Information Processing Systems, A.\u00a0Beygelzimer, Y.\u00a0Dauphin, P.\u00a0Liang, and J.\u00a0Wortman Vaughan (Eds.)."},{"key":"e_1_3_3_1_26_2","unstructured":"Fisher Yu Yinda Zhang Shuran Song Ari Seff and Jianxiong Xiao. 2015. LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. CoRR abs\/1506.03365 (2015). arXiv:https:\/\/arXiv.org\/abs\/1506.03365http:\/\/arxiv.org\/abs\/1506.03365"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","unstructured":"Bolei Zhou Agata Lapedriza Aditya Khosla Aude Oliva and Antonio Torralba. 2018. Places: A 10 Million Image Database for Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 40 6 (2018) 1452\u20131464. 10.1109\/TPAMI.2017.2723009","DOI":"10.1109\/TPAMI.2017.2723009"}],"event":{"name":"ICISDM 2024: 2024 the 8th International Conference on Information System and Data Mining","acronym":"ICISDM 2024","location":"Los Angeles CA USA"},"container-title":["Proceedings of the 2024 8th International Conference on Information System and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686397.3686412","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3686397.3686412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:23Z","timestamp":1750291583000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686397.3686412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":26,"alternative-id":["10.1145\/3686397.3686412","10.1145\/3686397"],"URL":"https:\/\/doi.org\/10.1145\/3686397.3686412","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]},"assertion":[{"value":"2024-11-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}