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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 11: AAAI-21 Technical Tracks 11

Nearest Neighbor Classifier Embedded Network for Active Learning

February 1, 2023

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Authors

Fang Wan

University of Chinese Academy of Sciences


Tianning Yuan

University of Chinese Academy of Sciences


Mengying Fu

University of Chinese Academy of Sciences


Xiangyang Ji

Tsinghua University


Qingming Huang

University of Chinese Academy of Sciences


Qixiang Ye

University of Chinese Academy of Sciences, China


DOI:

10.1609/aaai.v35i11.17205


Abstract:

Deep neural networks (DNNs) have been widely applied to active learning. Despite of its effectiveness, the generalization ability of the discriminative classifier (the softmax classifier) is questionable when there is a significant distribution bias between the labeled set and the unlabeled set. In this paper, we attempt to replace the softmax classifier in deep neural network with a nearest neighbor classifier, considering its progressive generalization ability within the unknown sub-space. Our proposed active learning approach, termed nearest Neighbor Classifier Embedded network (NCE-Net), targets at reducing the risk of over-estimating unlabeled samples while improving the opportunity to query informative samples. NCE-Net is conceptually simple but surprisingly powerful, as justified from the perspective of the subset information, which defines a metric to quantify model generalization ability in active learning. Experimental results show that, with simple selection based on rejection or confusion confidence, NCE-Net improves state-of-the-arts on image classification and object detection tasks with significant margins.

Topics: AAAI

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HOW TO CITE:

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye Nearest Neighbor Classifier Embedded Network for Active Learning Proceedings of the AAAI Conference on Artificial Intelligence (2021) 10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye Nearest Neighbor Classifier Embedded Network for Active Learning AAAI 2021, 10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye (2021). Nearest Neighbor Classifier Embedded Network for Active Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. Nearest Neighbor Classifier Embedded Network for Active Learning. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. 2021. Nearest Neighbor Classifier Embedded Network for Active Learning. "Proceedings of the AAAI Conference on Artificial Intelligence". 10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. (2021) "Nearest Neighbor Classifier Embedded Network for Active Learning", Proceedings of the AAAI Conference on Artificial Intelligence, p.10041-10048

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye, "Nearest Neighbor Classifier Embedded Network for Active Learning", AAAI, p.10041-10048, 2021.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. "Nearest Neighbor Classifier Embedded Network for Active Learning". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. "Nearest Neighbor Classifier Embedded Network for Active Learning". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 10041-10048.

Fang Wan||Tianning Yuan||Mengying Fu||Xiangyang Ji||Qingming Huang||Qixiang Ye. Nearest Neighbor Classifier Embedded Network for Active Learning. AAAI[Internet]. 2021[cited 2023]; 10041-10048.


ISSN: 2374-3468


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