Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Mao, Yining"'
Understanding the performance of machine learning (ML) models across diverse data distributions is critically important for reliable applications. Despite recent empirical studies positing a near-perfect linear correlation between in-distribution (ID
Externí odkaz:
http://arxiv.org/abs/2305.02995
The rapid adoption of generative language models has brought about substantial advancements in digital communication, while simultaneously raising concerns regarding the potential misuse of AI-generated content. Although numerous detection methods ha
Externí odkaz:
http://arxiv.org/abs/2304.02819
Autor:
Mao, Qinghua1 (AUTHOR), Mao, Yining1 (AUTHOR) maoyining@stumail.ysu.edu.cn, Sun, Qilong1 (AUTHOR) maoyining@stumail.ysu.edu.cn, Xu, Linyao1 (AUTHOR)
Publikováno v:
PLoS ONE. 5/31/2024, Vol. 19 Issue 5, p1-37. 37p.
Autor:
Jing, Yongcheng, Mao, Yining, Yang, Yiding, Zhan, Yibing, Song, Mingli, Wang, Xinchao, Tao, Dacheng
State-of-the-art parametric and non-parametric style transfer approaches are prone to either distorted local style patterns due to global statistics alignment, or unpleasing artifacts resulting from patch mismatching. In this paper, we study a novel
Externí odkaz:
http://arxiv.org/abs/2207.11681
Knowledge distillation (KD) has recently emerged as a powerful strategy to transfer knowledge from a pre-trained teacher model to a lightweight student, and has demonstrated its unprecedented success over a wide spectrum of applications. In spite of
Externí odkaz:
http://arxiv.org/abs/2112.03695
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Chemical Research in Chinese Universities; 8/1/2022, Vol. 38 Issue 2, p290-295, 6p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Chemical Research in Chinese Universities; 8/1/2022, Vol. 38 Issue 2, p290-295, 6p
Publikováno v:
Chemical Research in Chinese Universities; April 2022, Vol. 38 Issue: 2 p290-295, 6p