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Generative Feature Replay For Class-Incremental Learning

Research article (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020) · cited 114× · AI/ML
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scholarly article[2]

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Authored by 8
Andrew D Bagdanov, Bogdan Raducanu, Chenshen Wu, jeust ven de weejer, Luis Herranz, Mikel Menta, Shangling Jui, Xialei Liu
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Andrew D Bagdanov, Bogdan Raducanu, Chenshen Wu, jeust ven de weejer, Luis Herranz, Mikel Menta, Shangling Jui, Xialei Liu
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Summary

Generative Feature Replay For Class-Incremental Learning is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Generative Feature Replay For Class-Incremental Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-feature-replay-for-class-incremental-learning
MLA “Generative Feature Replay For Class-Incremental Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-feature-replay-for-class-incremental-learning.
BibTeX @misc{4ortxyz_generative-feature-replay-for-class-incremental-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative Feature Replay For Class-Incremental Learning}}, year = {2026}, url = {https://4ort.xyz/entity/generative-feature-replay-for-class-incremental-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative Feature Replay For Class-Incremental Learning — https://4ort.xyz/entity/generative-feature-replay-for-class-incremental-learning (retrieved 2026-05-24)

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