30 citations · 72 across the 8 of their papers we have counts for
4 papers · 1 filter
Hierarchical Relationship Alignment Metric Learning
Lifeng Gu
Most existing metric learning methods focus on learning a similarity or distance measure relying on similar and dissimilar relations between sample pairs. However, pairs of samples…
Explaining Representation by Mutual Information
Lifeng Gu
As interpretability gains attention in machine learning, there is a growing need for reliable models that fully explain representation content. We propose a mutual information (MI)…
Representation Learning by Ranking across multiple tasks
Lifeng Gu
In recent years, representation learning has become the research focus of the machine learning community. Large-scale neural networks are a crucial step toward achieving general in…
Estimating and Improving Fairness with Adversarial Learning
Xiaoxiao Li, Ziteng Cui, Yifan Wu +2
Fairness and accountability are two essential pillars for trustworthy Artificial Intelligence (AI) in healthcare. However, the existing AI model may be biased in its decision marki…