Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Lu, Mingyu"'
As diffusion models are deployed in real-world settings, data attribution is needed to ensure fair acknowledgment for contributors of high-quality training data and to identify sources of harmful content. Previous work focuses on identifying individu
Externí odkaz:
http://arxiv.org/abs/2407.03153
Autor:
Liao, Yun, Di, Yide, Zhou, Hao, Zhu, Kaijun, Lu, Mingyu, Zhang, Yijia, Duan, Qing, Liu, Junhui
Local feature matching remains a challenging task, primarily due to difficulties in matching sparse keypoints and low-texture regions. The key to solving this problem lies in effectively and accurately integrating global and local information. To ach
Externí odkaz:
http://arxiv.org/abs/2308.15144
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1900-1910 (2024)
The anxiety detection task involves the utilization of natural language processing techniques to analyze users?? content posted on social media. To promote research on anxiety detection among college students, a Weibo dataset has been developed. Addr
Externí odkaz:
https://doaj.org/article/23185dfacd7e48198c4424d4a94f2d85
Feature selection helps reduce data acquisition costs in ML, but the standard approach is to train models with static feature subsets. Here, we consider the dynamic feature selection (DFS) problem where a model sequentially queries features based on
Externí odkaz:
http://arxiv.org/abs/2301.00557
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 780-794 (2024)
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation. In order to decoup
Externí odkaz:
https://doaj.org/article/f06d958c81df42039104f732c50894fa
Learning personalized cancer treatment with machine learning holds great promise to improve cancer patients' chance of survival. Despite recent advances in machine learning and precision oncology, this approach remains challenging as collecting data
Externí odkaz:
http://arxiv.org/abs/2205.02944
Publikováno v:
In Image and Vision Computing October 2024 150
Publikováno v:
In Computational Biology and Chemistry August 2024 111
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-13 (2023)
Abstract Occupation profiling is a subtask of authorship profiling that is broadly defined as an analysis of individuals’ writing styles. Although the problem has been widely explored, no previous studies have attempted to identify Chinese classica
Externí odkaz:
https://doaj.org/article/1e28727de07143769df16deb792ff19a