34 citations · 112 across the 10 of their papers we have counts for
11 papers
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu +3
The fairness-aware online learning framework has arisen as a powerful tool for the continual lifelong learning setting. The goal for the learner is to sequentially learn new tasks…
Uncertainty-Aware Reliable Text Classification
Yibo Hu, Latifur Khan
Deep neural networks have significantly contributed to the success in predictive accuracy for classification tasks. However, they tend to make over-confident predictions in real-wo…
SetConv: A New Approach for Learning from Imbalanced Data
Yang Gao, Yi-Fan Li, Yu Lin +2
For many real-world classification problems, e.g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (…
Towards Self-Adaptive Metric Learning On the Fly
Yang Gao, Yi-Fan Li, Swarup Chandra +2
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn…
A Primal-Dual Subgradient Approachfor Fair Meta Learning
Chen Zhao, Feng Chen, Zhuoyi Wang +1
The problem of learning to generalize to unseen classes during training, known as few-shot classification, has attracted considerable attention. Initialization based methods, such…
Secure IoT Data Analytics in Cloud via Intel SGX
Md Shihabul Islam, Mustafa Safa Ozdayi, Latifur Khan +1
The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure storage system to ensure da…