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Exploring Data Geometry for Continual Learning

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由 Z Gao 著作2023被引用 9 次 — In this paper, we study how to attain suitable non-Euclidean ge- ometry to capture the intrinsic geometric structures of data during continual learning. To ...

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Exploring Data Geometry for Continual Learning

arXiv

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由 Z Gao 著作2023被引用 9 次 — In this paper, we study continual learning from a novel perspective by exploring data geometry for the non-stationary stream of data.

有關 Exploring Data Geometry for Continual Learning. 的學術文章
Exploring data geometry for continual learning - ‎Gao - 9 個引述 … continual learning by exploring eigenvalues of Hessian … - ‎Kong - 29 個引述 Improving task-free continual learning by … - ‎Wang - 43 個引述

Exploring Data Geometry for Continual Learning

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由 Z Gao 著作2023被引用 9 次 — In this paper, we study continual learning from a novel perspective by exploring data geometry for the non-stationary stream of data.

Exploring Data Geometry for Continual Learning ...

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由 Z Gao 著作 — In this section, we visualize the geometric structures and the mixed-curvature space in the continual learning process. Some examples are shown in Fig. 1, Fig.

Exploring Data Geometry for Continual Learning

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To learn the new data, Gao et al. (2023) propose a dynamically expanding geometry through a mixed-curvature space, enabling learning of complex hierarchies in a ...

arXiv:2304.03931v1 [cs.CV] 8 Apr 2023

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由 Z Gao 著作2023被引用 9 次 — In this paper, we study continual learning from a novel perspective by exploring data geometry for the non-stationary stream of data. Our method ...

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北京理工大学

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Fingerprint. Dive into the research topics of 'Exploring Data Geometry for Continual Learning'. Together they form a unique fingerprint.

Yunde Jia

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This paper presents a method of learning reconfigurable And-Or Tree (AOT) models discriminatively from weakly annotated data for object detection. Object ...

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Exploring Data Geometry for Continual Learning · pdf icon · hmtl icon · Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu. Published: 31 Dec 2022 ...