{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T16:17:40Z","timestamp":1788365860435,"version":"build-2803163510"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234493","type":"print"},{"value":"9789819234509","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3450-9_45","type":"book-chapter","created":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T07:04:11Z","timestamp":1784531051000},"page":"548-559","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Temporal-Consensus Sharpness Minimization for Data-Efficient Out-of-Distribution Generalization"],"prefix":"10.1007","author":[{"given":"Yifan","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaoran","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchuan","family":"Pu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wentao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,21]]},"reference":[{"key":"45_CR1","volume-title":"Advances in Neural Information Processing Systems","author":"M Andriushchenko","year":"2023","unstructured":"Andriushchenko, M., Bahri, D., Mobahi, H., Flammarion, N.: Sharpness-aware minimization leads to low-rank features. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR2","volume-title":"Advances in Neural Information Processing Systems","author":"X Chen","year":"2023","unstructured":"Chen, X., Liang, C., Huang, D., et al.: Symbolic discovery of optimization algorithms. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR3","volume-title":"Advances in Neural Information Processing Systems","author":"Y Dai","year":"2023","unstructured":"Dai, Y., Ahn, K., Sra, S.: The crucial role of normalization in sharpness-aware minimization. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR4","volume-title":"International Conference on Learning Representations","author":"P Foret","year":"2021","unstructured":"Foret, P., Kleiner, A., Mobahi, H., Neyshabur, B.: Sharpness-aware minimization for efficiently improving generalization. In: International Conference on Learning Representations (2021)"},{"key":"45_CR5","volume-title":"International Conference on Learning Representations","author":"I Gulrajani","year":"2021","unstructured":"Gulrajani, I., Lopez-Paz, D.: In search of lost domain generalization. In: International Conference on Learning Representations (2021)"},{"key":"45_CR6","volume-title":"International Conference on Learning Representations","author":"DP Kingma","year":"2015","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (2015)"},{"key":"45_CR7","volume-title":"International Conference on Machine Learning","author":"J Kwon","year":"2021","unstructured":"Kwon, J., Kim, J., Park, H., Choi, I.K.: ASAM: adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks. In: International Conference on Machine Learning (2021)"},{"key":"45_CR8","volume-title":"Advances in Neural Information Processing Systems","author":"B Li","year":"2023","unstructured":"Li, B., Giannakis, G.B.: Enhancing sharpness-aware optimization through variance suppression. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR9","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"T Li","year":"2024","unstructured":"Li, T., Pan, Z., He, Z., Cheng, X., Huang, X.: Friendly sharpness-aware minimization. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2024)"},{"key":"45_CR10","volume-title":"International Conference on Learning Representations","author":"I Loshchilov","year":"2019","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (2019)"},{"key":"45_CR11","volume-title":"Advances in Neural Information Processing Systems","author":"M Mueller","year":"2023","unstructured":"Mueller, M., Vlaar, T.J., Rolnick, D., Hein, M.: Normalization layers are all that sharpness-aware minimization needs. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR12","volume-title":"Advances in Neural Information Processing Systems","author":"D Si","year":"2023","unstructured":"Si, D., Yun, C.: Practical sharpness-aware minimization cannot converge all the way to optima. In: Advances in Neural Information Processing Systems (2023)"},{"key":"45_CR13","volume-title":"International Conference on Learning Representations","author":"JM Springer","year":"2024","unstructured":"Springer, J.M., Nagarajan, V., Raghunathan, A.: Sharpness-aware minimization enhances feature quality via balanced learning. In: International Conference on Learning Representations (2024)"},{"key":"45_CR14","volume-title":"Advances in Neural Information Processing Systems","author":"W Xie","year":"2024","unstructured":"Xie, W., Pethick, T., Cevher, V.: SAMPa: sharpness-aware minimization parallelized. In: Advances in Neural Information Processing Systems (2024)"},{"key":"45_CR15","volume-title":"International Conference on Machine Learning","author":"R Yu","year":"2024","unstructured":"Yu, R., Zhang, Y., Kwok, J.: Improving sharpness-aware minimization by Lookahead. In: International Conference on Machine Learning (2024)"},{"key":"45_CR16","volume-title":"Advances in Neural Information Processing Systems","author":"J Zhuang","year":"2020","unstructured":"Zhuang, J., Tang, T., Ding, Y., et al.: AdaBelief optimizer: adapting stepsizes by the belief in observed gradients. In: Advances in Neural Information Processing Systems (2020)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3450-9_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T15:25:11Z","timestamp":1788362711000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3450-9_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,21]]},"ISBN":["9789819234493","9789819234509"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3450-9_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,21]]},"assertion":[{"value":"21 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}