Learning forward-compatible and domain-invariant representations for cross-domain few-shot class-incremental learning.
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| Title: | Learning forward-compatible and domain-invariant representations for cross-domain few-shot class-incremental learning. |
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| Authors: | Shi W; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China. Electronic address: 24120371@bjtu.edu.cn., Yan X; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China. Electronic address: xud_yan@bjtu.edu.cn., Yuan J; Research Center for Language Intelligence of China, Capital Normal University, Beijing, China. Electronic address: jzyuan@cnu.edu.cn., Lu H; School of Mathematics and Statistics, Shandong University, Weihai, Shandong, China. Electronic address: lhwh@sdu.edu.cn., Feng S; Tangshan Research Institute, Beijing Jiaotong University, Tangshan, China. Electronic address: shfeng@bjtu.edu.cn. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 May 04; Vol. 202, pp. 109070. Date of Electronic Publication: 2026 May 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42114301 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Learning forward-compatible and domain-invariant representations for cross-domain few-shot class-incremental learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shi+W%22">Shi W</searchLink>; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China. Electronic address: 24120371@bjtu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yan+X%22">Yan X</searchLink>; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China. Electronic address: xud&#95;yan@bjtu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yuan+J%22">Yuan J</searchLink>; Research Center for Language Intelligence of China, Capital Normal University, Beijing, China. Electronic address: jzyuan@cnu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Lu+H%22">Lu H</searchLink>; School of Mathematics and Statistics, Shandong University, Weihai, Shandong, China. Electronic address: lhwh@sdu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Feng+S%22">Feng S</searchLink>; Tangshan Research Institute, Beijing Jiaotong University, Tangshan, China. Electronic address: shfeng@bjtu.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 May 04; Vol. 202, pp. 109070. <i>Date of Electronic Publication: </i>2026 May 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42114301 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2026.109070 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 109070 Titles: – TitleFull: Learning forward-compatible and domain-invariant representations for cross-domain few-shot class-incremental learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shi W – PersonEntity: Name: NameFull: Yan X – PersonEntity: Name: NameFull: Yuan J – PersonEntity: Name: NameFull: Lu H – PersonEntity: Name: NameFull: Feng S IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 05 Text: 2026 May 04 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-2782 Numbering: – Type: volume Value: 202 Titles: – TitleFull: Neural networks : the official journal of the International Neural Network Society Type: main |
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