Digital Library


Search: "[ author: Incheol Kim ]" (14)
    Effective Utilization of Domain Knowledge for Relational Reinforcement Learning
    MinKyo Kang, InCheol Kim KIPS Transactions on Software and Data Engineering, Vol. 11, No. 3, pp. 141-148, Mar. 2022
    https://doi.org/10.3745/KTSDE.2022.11.3.141
    Keywords: Relational Reinforcement Learning, Domain Knowledge, Policy, Logic Predicate, Generality, Interpretability


    Graph Reasoning and Context Fusion for Multi-Task, Multi-Hop Question Answering
    Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 8, pp. 319-330, Aug. 2021
    https://doi.org/10.3745/KTSDE.2021.10.8.319  
    Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network


    C-COMA: A Continual Reinforcement Learning Model for Dynamic Multiagent Environments
    Kyueyeol Jung, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 4, pp. 143-152, Apr. 2021
    https://doi.org/10.3745/KTSDE.2021.10.4.143  
    Keywords: Multiagent Reinforcement Learning, Dynamic Environment, Continual Learning, Starcraft II


    Hybrid Learning for Vision-and-Language Navigation Agents
    Suntaek Oh, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 9, pp. 281-290, Sep. 2020
    https://doi.org/10.3745/KTSDE.2020.9.9.281  
    Keywords: Vision-and-Language Navigation, Hybrid Learning, Path-Based Reward Function


    Bilinear Graph Neural Network-Based Reasoning for Multi-Hop Question Answering
    Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 8, pp. 243-250, Aug. 2020
    https://doi.org/10.3745/KTSDE.2020.9.8.243
    Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network


    KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph
    JaeYun Lee, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 3, pp. 91-100, Mar. 2020
    https://doi.org/10.3745/KTSDE.2020.9.3.91
    Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding


    LVLN: A Landmark-Based Deep Neural Network Model for Vision-and-Language Navigation
    Jisu Hwang, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 9, pp. 379-390, Sep. 2019
    https://doi.org/10.3745/KTSDE.2019.8.9.379
    Keywords: Vision-and-Language Navigation, deep neural network, Landmark, Attention, Progress Monitor


    Deep Neural Network-Based Scene Graph Generation for 3D Simulated Indoor Environments
    Donghyeop Shin, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 5, pp. 205-212, May. 2019
    10.3745/KTSDE.2019.8.5.205  
    Keywords: Scene Graph, 3D Indoor Environment, deep neural network, AI2-THOR


    Online Hard Example Mining for Training One-Stage Object Detectors
    Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 5, pp. 195-204, May. 2018
    10.3745/KTSDE.2018.7.5.195
    Keywords: One-Stage Object Detection, Deep Convolutional Neural Network, Online Hard Example Mining, Loss Function


    ORMN: A Deep Neural Network Model for Referring Expression Comprehension
    Donghyeop Shin, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 2, pp. 69-76, Feb. 2018
    10.3745/KTSDE.2018.7.2.69
    Keywords: Referring Expression Comprehension, Deep Learning, Contextual Information, Weighted Composition