3 citations · 3 across the 4 of their papers we have counts for
4 papers
Exploring Imbalanced Annotations for Effective In-Context Learning
Hongfu Gao, Feipeng Zhang, Hao Zeng +3
Large language models (LLMs) have shown impressive performance on downstream tasks through in-context learning (ICL), which heavily relies on the demonstrations selected from annot…
Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion
Chaodong Xiao, Minghan Li, Zhengqiang Zhang +2
Selective state space models (SSMs), such as Mamba, highly excel at capturing long-range dependencies in 1D sequential data, while their applications to 2D vision tasks still face…
Component-based Sketching for Deep ReLU Nets
Di Wang, Shao-Bo Lin, Deyu Meng +1
Deep learning has made profound impacts in the domains of data mining and AI, distinguished by the groundbreaking achievements in numerous real-world applications and the innovativ…
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Zilong Zhang, Zhibin Zhao, Deyu Meng +2
One-class classification (OCC), i.e., identifying whether an example belongs to the same distribution as the training data, is essential for deploying machine learning models in th…