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AI is Computing Theory 인공지능과 전산이론

더 정확한, 편리한, 안전한, 공평한, 설명 가능한 AI를 개발하기 위해 통계학, 해석학뿐만 아니라 계산 이론, 소프트웨어 공학, 프로그래밍 언어 등 전산 이론 기반이 필수적이다. 이와 동시에, AI 기술을 이용한 전산 이론 및 기술 개발도 활발히 진행되고 있다.

  • 2022

  • Language Models Can Prioritize Patches for Practical Program Patching

    Kang, Sungmin, Shin Yoo
    3rd IEEE/ACM International Workshop on Automated Program Repair, APR 2022
    2022

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  • Learning Symmetric Rules with SATNet

    Sangho Lim, EUNGYEOL OH, Hongseok Yang
    The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
    2022

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  • LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

    Geonhyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
    The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
    2022

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  • Query Generation with External Knowledge for Dense Retrieval

    Sukmin Cho, Soyeong Jeong, WONSUK YANG, Jong C. Park
    The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
    2022

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  • Scale mixtures of neural network Gaussian processes

    Lee, Hyungi, Yun, Eunggu, Hongseok Yang, Lee, J
    Tenth International Conference on Learning Representations (ICLR 2022)
    2022

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  • Sign Language Production With Avatar Layering: A Critical Use Case over Rare Words

    Jung-Ho Kim, Euijun Hwang, Sukmin Cho, Lee, Du Hui, Jong C. Park
    The 13th Conference on Language Resources and Evaluation (LREC 2022)
    2022

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  • 기계번역을 활용한 한국어 언어폭력 데이터셋의 구축

    신지수, 송호윤, 이희제, 박종철
    2022 한국컴퓨터종합학술대회 (KCC)
    2022

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  • 독해 보조로서의 자동 생성 요약문 평가

    김어진, 신지수, 정소영, 조석민, 박종철
    2022 한국컴퓨터종합학술대회 (KCC)
    2022

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  • 불용어 마스크 풀링을 이용한 의학 도메인 밀집 검색

    최동호, 송호윤, 정소영, 조석민, 박종철
    2022 한국컴퓨터종합학술대회 (KCC)
    2022

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  • 특징조합 교란자 균형을 통한 인과정규화된 로지스틱 회귀 개선

    서석인, 황형주, 양홍석, 김기응
    2022 한국소프트웨어종합학술대회 (KSC 2022)
    2022

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  • 2021

  • A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit

    Hoyun Song, Soo Hyun Ryu, HUIJE LEE, Jong C. Park
    25th Conference on Computational Natural Language Learning
    2021

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  • Adaptive Strategy for Resetting a Non-stationary Markov Chain during Learning via Joint Stochastic Approximation

    Kim, Hyunsu, Lee, J, Hongseok Yang
    The 3rd Symposium on Advances in Approximate Bayesian Inference (AABI 2021)
    2021

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  • Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model

    Park, ChaeHun, Jang, Eugene, WONSUK YANG, Jong C. Park
    Conference of the North-American-Chapter of the Association-for-Computational-Linguistics - Human Language Technologies (NAACL-HLT)
    2021

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  • Monolingual Pre-trained Language Models for Tigrinya

    GAIM GEBRE FITSUM, WONSUK YANG, Jong C. Park
    The 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021
    2021

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  • Multi-View Representation Learning via Total Correlation Objective

    Hwang, Hyeongjoo, Kim, Geon-hyeong, seunghoon.hong, Kee-Eung Kim
    Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)
    2021

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  • Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models

    Kim, Seah, Shin Yoo
    2nd IEEE/ACM International Conference on Automation of Software Test (AST)
    2021

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  • Non-Autoregressive Sign Language Production with Gaussian Space

    Euijun Hwang, Jung-Ho Kim, Jong C. Park
    The 32nd British Machine Vision Conference (BMVC 21)
    2021

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  • Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean

    HUIJE LEE, WONSUK YANG, Jang, Eugene, Hoyun Song, Park, ChaeHun, Jong C. Park
    35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35)
    2021

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  • Probabilistic Programs with Stochastic Conditioning

    Tolpin, David, Zhou, Yuan, Rainforth, Tom, Hongseok Yang
    The 38th International Conference on Machine Learning (ICML 2021)
    2021

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  • Progressive Transmission and Inference of Deep Learning Models deep learning model transmission, deep learning model deployment, deep learning application, progressive transmission, user experience

    Lee, Youngsoo, Yun, Sangdoo, YEONGHUN KIM, Sunghee Choi
    20th IEEE International Conference on Machine Learning and Applications (ICMLA)
    2021

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