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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 10: AAAI-21 Technical Tracks 10

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

February 1, 2023

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Authors

Shuang Li

Beijing Institute of Technology


Fangrui Lv

Beijing Institute of Technology


Binhui Xie

Beijing Institute of Technology


Chi Harold Liu

Beijing Institute of Technology


Jian Liang

Alibaba Group


Chen Qin

Institute for Digital Communications, School of Engineering, University of Edinburgh, Edinburgh, UK


DOI:

10.1609/aaai.v35i10.17027


Abstract:

Unsupervised domain adaptation challenges the problem of transferring knowledge from a well-labelled source domain to an unlabelled target domain. Recently, adversarial learning with bi-classifier has been proven effective in pushing cross-domain distributions close. Prior approaches typically leverage the disagreement between bi-classifier to learn transferable representations, however, they often neglect the classifier determinacy in the target domain, which could result in a lack of feature discriminability. In this paper, we present a simple yet effective method, namely Bi-Classifier Determinacy Maximization (BCDM), to tackle this problem. Motivated by the observation that target samples cannot always be separated distinctly by the decision boundary, here in the proposed BCDM, we design a novel classifier determinacy disparity (CDD) metric, which formulates classifier discrepancy as the class relevance of distinct target predictions and implicitly introduces constraint on the target feature discriminability. To this end, the BCDM can generate discriminative representations by encouraging target predictive outputs to be consistent and determined, meanwhile, preserve the diversity of predictions in an adversarial manner. Furthermore, the properties of CDD as well as the theoretical guarantees of BCDM's generalization bound are both elaborated. Extensive experiments show that BCDM compares favorably against the existing state-of-the-art domain adaptation methods.

Topics: AAAI

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HOW TO CITE:

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation Proceedings of the AAAI Conference on Artificial Intelligence (2021) 8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021, 8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin (2021). Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence, 8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. 2021. Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. "Proceedings of the AAAI Conference on Artificial Intelligence". 8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. (2021) "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation", Proceedings of the AAAI Conference on Artificial Intelligence, p.8455-8464

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin, "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation", AAAI, p.8455-8464, 2021.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 8455-8464.

Shuang Li||Fangrui Lv||Binhui Xie||Chi Harold Liu||Jian Liang||Chen Qin. Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI[Internet]. 2021[cited 2023]; 8455-8464.


ISSN: 2374-3468


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