Zobrazeno 1 - 10
of 135
pro vyhledávání: '"ZHANG Baoming"'
Although open-vocabulary classification models like Contrastive Language Image Pretraining (CLIP) have demonstrated strong zero-shot learning capabilities, their robustness to common image corruptions remains poorly understood. Through extensive expe
Externí odkaz:
http://arxiv.org/abs/2412.02837
Graph neural networks (GNNs) are prominent for their effectiveness in processing graph data for semi-supervised node classification tasks. Most works of GNNs assume that the observed structure accurately represents the underlying node relationships.
Externí odkaz:
http://arxiv.org/abs/2411.04356
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
Graph Neural Networks (GNNs) have gained considerable prominence in semi-supervised learning tasks in processing graph-structured data, primarily owing to their message-passing mechanism, which largely relies on the availability of clean labels. Howe
Externí odkaz:
http://arxiv.org/abs/2411.03744
Graph Neural Networks have achieved remarkable accuracy in semi-supervised node classification tasks. However, these results lack reliable uncertainty estimates. Conformal prediction methods provide a theoretical guarantee for node classification tas
Externí odkaz:
http://arxiv.org/abs/2405.14303
Real-world vision models in dynamic environments face rapid shifts in domain distributions, leading to decreased recognition performance. Using unlabeled test data, continuous test-time adaptation (CTTA) directly adjusts a pre-trained source discrimi
Externí odkaz:
http://arxiv.org/abs/2403.10650
Autor:
Chen, Mingcai, Du, Yuntao, Tang, Wei, Zhang, Baoming, Cheng, Hao, Qian, Shuwei, Wang, Chongjun
In real-world applications, perfect labels are rarely available, making it challenging to develop robust machine learning algorithms that can handle noisy labels. Recent methods have focused on filtering noise based on the discrepancy between model p
Externí odkaz:
http://arxiv.org/abs/2307.16614
Publikováno v:
In Landscape and Urban Planning August 2024 248
Publikováno v:
In Journal of Clinical Lipidology January-February 2024 18(1):e21-e32
Publikováno v:
In Construction and Building Materials 3 July 2023 385
Publikováno v:
In Sedimentary Geology February 2023 444