76 citations · 152 across the 11 of their papers we have counts for
4 papers · 1 filter
Towards Fair Disentangled Online Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu +4
In the problem of online learning for changing environments, data are sequentially received one after another over time, and their distribution assumptions may vary frequently. Alt…
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…
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…
Representation based and Attention augmented Meta learning
Yunxiao Qin, Chenxu Zhao, Zezheng Wang +3
Deep learning based computer vision fails to work when labeled images are scarce. Recently, Meta learning algorithm has been confirmed as a promising way to improve the ability of…