Directions
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.
Target-Agnostic Detection of Stances Toward Entities in News Articles
장우진, 양원석, 박종철
Human-Computer Interaction Korea 2021
2021
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Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
Soyeong Jeong, Baek, Jinheon, Park, ChaeHun, Jong C. Park
Second Workshop on Scholarly Document Processing
2021
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분포 외 데이터 문제를 활용한 암묵적 언어폭력 탐지
신지수, 송호윤, 박종철
2021 한국소프트웨어종합학술대회
2021
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소셜 미디어상 언어폭력 정보를 고려한 BERT 기반 성격장애 탐지 모델
신지수, 송호윤, 박종철
2021 한국컴퓨터종합학술대회 (KCC2021)
2021
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자동 생성된 질문의 품질과 생성에 제공된 컨텍스트 정보량의 관계
조석민, 양원석, 박채훈, 박종철
2021 한국컴퓨터종합학술대회 (KCC2021)
2021
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Automatic Color Scheme Extraction from Movies
SUZI KIM, Sunghee Choi
ICMR '20: International Conference on Multimedia Retrieval
2020
Bayesian Policy Search for Stochastic Domains
Tolpin, David, Zhou, Yuan, Hongseok Yang
The Second International Conference on Probabilistic Programming (PROBPROG 2020)
2020
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Evaluating Surprise Adequacy for Question Answering
Seah Kim, Shin Yoo
42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
2020
On correctness of automatic differentiation for non-differentiable functions
Lee, Wonyeol, Yu, Hangyeol, Rival, Xavier, Hongseok Yang
The 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
2020
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Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving
Jinhan Kim, Ju, Jeongil, Feldt, Robert, Shin Yoo
ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
2020
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Residual Neural Processes
Lee, Byung-Jun, seunghoon.hong, Kee-Eung Kim
34th AAAI Conference on Artificial Intelligence (AAAI 2020)
2020
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SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
Sungmin Kang, Feldt, Robert, Shin Yoo
42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
2020
Variational Interaction Information Maximization for Cross-domain Disentanglement
Hwang, Hyeongjoo, Kim, Geon-Hyeong, seunghoon.hong, Kee-Eung Kim
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020)
2020
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사전 학습된 한국어 언어 모델의 보정
정소영, 양원석, 박채훈, 박종철
한글 및 한국어 정보처리 학술대회
2020
A Corpus of Sentence-level Annotations of Local Acceptability with Reasons
WONSUK YANG, Jung-Ho Kim, seungwon yoon, Chae Hun Park, Jong C. Park
Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33)
2019
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Argdiver: Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
Chae Hun Park, WONSUK YANG, Jong C. Park
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
2019
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
Chae Hun Park, WONSUK YANG, Jong C. Park
2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019)
2019
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LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Zhou, Yuan, Gram-Hansen, Bradley, Kohn, Tobias, Rainforth, Tom, Hongseok Yang, Wood, Frank
The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)
2019
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Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials
WONSUK YANG, seungwon yoon, Carpenter, Ada, Jong C. Park
2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
2019
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PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Youngsoo Jang, Jongmin Lee, Jaeyoung Park, 이경훈, Lison Pierre, Kee-Eung Kim
2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019)
2019
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