Search Results for author:
Found 2 papers, 1 papers with code
Exploring the Robustness of In-Context Learning with Noisy Labels
In this paper, inspired by prior research that studies ICL ability using simple function classes, we take a closer look at this problem by investigating the robustness of Transformers against noisy labels.
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
Subsequently, PNCA is used to analyze the mainstream polynomial filters, and a novel simple basis that decouples the positive and negative activation and fully utilizes graph structure information is designed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
