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Towards Robustness Analysis of E-Commerce Ranking System
As e-commerce retailers use various techniques to improve the quality of search results, we hope that this research offers valuable guidance for measuring the robustness of the ranking systems.
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
SyntaGuid facilitates the guidance of attention-weight learning, leading to improved model performance on various software engineering tasks.
Code Smells in Machine Learning Systems
We found that our newly identified code smells are prevalent and impactful on the maintenance of DL systems from the developer's perspective.
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