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pro vyhledávání: '"Jang, Taeuk"'
Recent advancements in Vision-Language Models (VLMs) have enabled complex multimodal tasks by processing text and image data simultaneously, significantly enhancing the field of artificial intelligence. However, these models often exhibit biases that
Externí odkaz:
http://arxiv.org/abs/2410.07593
The fairness in machine learning is getting increasing attention, as its applications in different fields continue to expand and diversify. To mitigate the discriminated model behaviors between different demographic groups, we introduce a novel post-
Externí odkaz:
http://arxiv.org/abs/2111.04271
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:6988-6995
The fairness in machine learning is getting increasing attention, as its applications in different fields continue to expand and diversify. To mitigate the discriminated model behaviors between different demographic groups, we introduce a novel post-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9acc2b52bf3dc61d43e02bbad1e5abc9
https://doi.org/10.1609/aaai.v36i6.20657
https://doi.org/10.1609/aaai.v36i6.20657
Autor:
Gavrilova, Marina, Gervasi, Osvaldo, Kumar, Vipin, Tan, C. J. Kenneth, Taniar, David, Laganà, Antonio, Mun, Youngsong, Choo, Hyunseung, Cho, Minju, Hwang, Jun, Park, Gyung-Leen, Kim, Junguk, Jang, Taeuk, Oh, Juhyun, Chae, Young Seok
Publikováno v:
Computational Science & Its Applications - ICCSA 2006 (9783540340720); 2006, p760-768, 9p