5 papers
PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning
Xiaodi Li, Dingcheng Li, Rujun Gao +3
Continual learning remains a fundamental challenge in machine learning, requiring models to learn from a stream of tasks without forgetting previously acquired knowledge. A major o…
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
Chen Zhao, Feng Mi, Xintao Wu +3
The fairness-aware online learning framework has emerged as a potent tool within the context of continuous lifelong learning. In this scenario, the learner's objective is to progre…
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…
An Automated Vulnerability Detection Framework for Smart Contracts
Feng Mi, Chen Zhao, Zhuoyi Wang +5
With the increase of the adoption of blockchain technology in providing decentralized solutions to various problems, smart contracts have become more popular to the point that bill…
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…