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AI is Computing Theory

Not only statistics and mathematical analytics, but computational theories, such as software engineering and programming languages, serve as an essential foundation in developing more accurate, convenient, secure, equitable, and explainable AI. In addition, the development of computational theories and techniques using AI technology is actively progressing.

  • 2023

  • Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility

    Lee, Hoil, Ayed, Fadhel, Jung, Paul, Lee, J, Hongseok Yang, Caron, Francois
    JOURNAL OF MACHINE LEARNING RESEARCH
    2023

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  • 2022

  • Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion

    Kim, Jun Seon, Ahn, Seong Jin, Myoung Ho Kim
    31st ACM International Conference on Information and Knowledge Management, CIKM 2022
    2022

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  • FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras

    Andreas Meuleman, HAKYEONG KIM, Tompkin, James, Min H. Kim
    European Conference on Computer Vision, ECCV 2022
    2022

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  • Multivariate Time series Anomaly Detection based on reconstructed differences using Graph Attention Networks

    Kang, Jung Mo, Myoung Ho Kim
    2nd International Workshop on Big data-driven Edge Cloud Services, BECS 2022
    2022

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  • Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching

    Kang, Donghun, Hyeonjoong Jang, Lee, Jungeon, 경종민, Min H. Kim
    Computer Vision and Pattern Recognition, CVPR 2022
    2022

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  • 적대적 활성화도 기반 심층신경망 가지치기 보정 기법

    임규민, 고기혁, 이수영, 손수엘
    2022 한국컴퓨터종합학술대회 (KCC2022)
    2022

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  • 2021

  • A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs

    Jung, Paul Heajoon, Lee, Jiho, Sam Staton, Hongseok Yang
    Annales Henri Lebesgue
    2021

  • High-Quality Stereo Image Restoration from Double Refraction

    HAKYEONG KIM, Andreas Meuleman, Daniel Jeon, Min H. Kim
    Computer Vision and Pattern Recognition (CVPR) 2021
    2021

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  • Neural Contrast Enhancement of CT Image

    Seo, Minkyo, Kim,Dongkeun, Lee, Kyungmoon, seunghoon.hong, Bae, Jae Seok, Kwak, Suha
    IEEE Winter Conference on Applications of Computer Vision, WACV 2021
    2021

  • Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval

    Kyoungrok Jang, Kang, Junmo, Hong, Giwon, Sung-Hyon Myaeng, Park, Joohee, Yoon, Taewon, Seo, Heecheol
    2021 Conference on Empirical Methods in Natural Language Processing
    2021

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  • 강화 학습을 이용한 웹 애플리케이션 취약점 탐지 현황

    이소영, 손수엘
    2021 한국컴퓨터종합학술대회 (KCC2021)
    2021

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  • 이미지 분할과 관심 영역 맵 기반 색상 스키마 추출

    김수지, 최성희
    정보과학회논문지
    2021

  • 2020

  • Adaptive Kernel Inference for Dense and Sharp Occupancy Grids

    YOUNGSUN KWON, Moon, BoChang, Sung-Eui Yoon
    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
    2020

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  • Revisit Prediction by Deep Survival Analysis

    Kim, Sundong, Song, H, Sejin Kim, Kim, Beomyoung, Lee Jae-Gil
    24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020
    2020

  • Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection

    Whang Joyce Jiyoung, Jung, Yeonsung, Kang, Seonggoo, Yoo, Dongho, Dhillon, Inderjit
    29th International World Wide Web Conference, WWW 2020
    2020

  • 2019

  • Bayesian Optimistic Kullback-Leibler Exploration

    Kang Hoon Lee, Geonhyeong Kim, Ortega, Pedro, Lee, Daniel D., Kee-Eung Kim
    MACHINE LEARNING
    2019

  • Hyperlink Classification via Structured Graph Embedding

    Lee, Geon, Kang, Seonggoo, Whang Joyce Jiyoung
    42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
    2019

  • 2017

  • Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)

    Durrant, RJ, Kee-Eung Kim, Holmes, G, Marsland, S, Sugiyama, M, Zhou, ZH
    Machine Learning
    2017

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  • Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors

    Jimin Hwa, Shin Yoo, Seo, Yeong-Seok, Doo-Hwan Bae
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
    2017

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  • 2016

  • Power of Earned Advertising on SNS: A Case Study of Friend Tagging on Facebook

    Park, Jaimie Y, Sohn, Yunkyu, Sue Moon
    International AAAI Conference on Web and Social Media (ICWSM 2016)
    2016

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