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

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators

February 1, 2023

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Authors

Shikun Li

Chinese Academy of Sciences


Shiming Ge

Chinese Academy of Sciences


Yingying Hua

Chinese Academy of Sciences


Chunhui Zhang

Chinese Academy of Sciences


Hao Wen

CloudWalk Technology Co., Ltd


Tengfei Liu

Ant Financial Services Group


Weiqiang Wang

Ant Financial Services Group


DOI:

10.1609/aaai.v34i04.5898


Abstract:

Typically, learning a deep classifier from massive cleanly annotated instances is effective but impractical in many real-world scenarios. An alternative is collecting and aggregating multiple noisy annotations for each instance to train the classifier. Inspired by that, this paper proposes to learn deep classifier from multiple noisy annotators via a coupled-view learning approach, where the learning view from data is represented by deep neural networks for data classification and the learning view from labels is described by a Naive Bayes classifier for label aggregation. Such coupled-view learning is converted to a supervised learning problem under the mutual supervision of the aggregated and predicted labels, and can be solved via alternate optimization to update labels and refine the classifiers. To alleviate the propagation of incorrect labels, small-loss metric is proposed to select reliable instances in both views. A co-teaching strategy with class-weighted loss is further leveraged in the deep classifier learning, which uses two networks with different learning abilities to teach each other, and the diverse errors introduced by noisy labels can be filtered out by peer networks. By these strategies, our approach can finally learn a robust data classifier which less overfits to label noise. Experimental results on synthetic and real data demonstrate the effectiveness and robustness of the proposed approach.

Topics: AAAI

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HOW TO CITE:

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang Coupled-View Deep Classifier Learning from Multiple Noisy Annotators Proceedings of the AAAI Conference on Artificial Intelligence (2020) 4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020, 4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang (2020). Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. Proceedings of the AAAI Conference on Artificial Intelligence, 4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. 2020. Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. "Proceedings of the AAAI Conference on Artificial Intelligence". 4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. (2020) "Coupled-View Deep Classifier Learning from Multiple Noisy Annotators", Proceedings of the AAAI Conference on Artificial Intelligence, p.4667-4674

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang, "Coupled-View Deep Classifier Learning from Multiple Noisy Annotators", AAAI, p.4667-4674, 2020.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. "Coupled-View Deep Classifier Learning from Multiple Noisy Annotators". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. "Coupled-View Deep Classifier Learning from Multiple Noisy Annotators". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 4667-4674.

Shikun Li||Shiming Ge||Yingying Hua||Chunhui Zhang||Hao Wen||Tengfei Liu||Weiqiang Wang. Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. AAAI[Internet]. 2020[cited 2023]; 4667-4674.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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