Showing 1 - 20 results of 350 for search '"feature interaction"', query time: 0.56s Refine Results
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    Incorporating Feature Interactions and Contrastive Learning for Credit Prediction by Lisi Zhang, Qiancheng Yu, Beijing Zhou, Yifan Zhang, Zhiyong Hu

    Published 2023-01-01
    “…Addressing these limitations, we present a novel approach for credit default prediction that integrates feature interactions and contrastive learning. Specifically, we introduce second-order interactions atop standard linear models to achieve low-order feature interplay. …”
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    Multi-feature Interaction for Aspect Sentiment Triplet Extraction by CHEN Linying, LIU Jianhua, ZHENG Zhixiong, LIN Jie, XU Ge, SUN Shuihua

    Published 2024-04-01
    “…Aiming at the above problems, multi-feature interaction for aspect sentiment triplet extraction (MFI-ASTE) is proposed. …”
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    A Local and Nonlocal Feature Interaction Network for Pansharpening by Junru Yin, Jiantao Qu, Le Sun, Wei Huang, Qiqiang Chen

    Published 2022-08-01
    “…To solve this problem, a local and nonlocal feature interaction network (LNFIN) is proposed in this paper for pansharpening. …”
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    Multi-Scale Feature Interactive Fusion Network for RGBT Tracking by Xianbing Xiao, Xingzhong Xiong, Fanqin Meng, Zhen Chen

    Published 2023-03-01
    “…To solve this problem, this work proposes a new multi-scale feature interactive fusion network (MSIFNet) for RGBT tracking. …”
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    DSSMFM: Combining user and item feature interactions for recommendation systems by Zeng Weishan

    Published 2020-01-01
    “…A new model, DSSMFM is proposed in this paper which combines user and item features interactions to improve the performance of recommendation systems. …”
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    Deep Feature Interactive Aggregation Network for Single Image Deraining by Shaoli Cao, Liying Liu, Li Zhao, Yuewang Xu, Jiawei Xu, Xiaoqin Zhang

    Published 2022-01-01
    “…In this paper, we propose a deep feature interactive aggregation network for single image deraining to enhance long-range dependencies among features and realize the interaction of information. …”
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