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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification

February 1, 2023

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Authors

Haobo Wang

Zhejiang University


Chen Chen

Zhejiang University


Weiwei Liu

Wuhan University


Ke Chen

Zhejiang University


Tianlei Hu

Zhejiang University


Gang Chen

Zhejiang University


DOI:

10.1609/aaai.v34i04.6083


Abstract:

Feature augmentation, which manipulates the feature space by integrating the label information, is one of the most popular strategies for solving Multi-Dimensional Classification (MDC) problems. However, the vanilla feature augmentation approaches fail to consider the intra-class exclusiveness, and may achieve degenerated performance. To fill this gap, a novel neural network based model is proposed which seamlessly integrates the Label Embedding and Feature Augmentation (LEFA) techniques to learn label correlations. Specifically, based on attentional factorization machine, a cross correlation aware network is introduced to learn a low-dimensional label representation that simultaneously depicts the inter-class correlations and the intra-class exclusiveness. Then the learned latent label vector can be used to augment the original feature space. Extensive experiments on seven real-world datasets demonstrate the superiority of LEFA over state-of-the-art MDC approaches.

Topics: AAAI

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HOW TO CITE:

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification Proceedings of the AAAI Conference on Artificial Intelligence (2020) 6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020, 6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen (2020). Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. 2020. Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. "Proceedings of the AAAI Conference on Artificial Intelligence". 6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. (2020) "Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification", Proceedings of the AAAI Conference on Artificial Intelligence, p.6178-6185

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen, "Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification", AAAI, p.6178-6185, 2020.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. "Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. "Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 6178-6185.

Haobo Wang||Chen Chen||Weiwei Liu||Ke Chen||Tianlei Hu||Gang Chen. Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI[Internet]. 2020[cited 2023]; 6178-6185.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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