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cs.LG2025
Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning
Qinzhe Wang, Zixuan Chen, Keke Huang +3
Few-Shot Class Incremental Learning (FSCIL) is crucial for adapting to the complex open-world environments. Contemporary prospective learning-based space construction methods strug…
cs.LG2024
Canonical Correlation Guided Deep Neural Network
Zhiwen Chen, Siwen Mo, Haobin Ke +4
Learning representations of two views of data such that the resulting representations are highly linearly correlated is appealing in machine learning. In this paper, we present a c…
cs.LG2024★ 1 cited
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren, Haiteng Wang, Jinwang Li +2
With the remarkable success of generative models like ChatGPT, Artificial Intelligence Generated Content (AIGC) is undergoing explosive development. Not limited to text and images,…