Jianqiang Huang

Stable Learning via Self-supervised Invariant Risk Minimization

2020 · arXiv (Cornell University)

Empirical Risk Minimization based methods are based on the consistency hypothesis that all data samples are generated i.i.d. However, this hypothesis cannot hold in many real-world applications. Consequently, simply minimizing training loss can lead the …

NPA

2019

News recommendation is very important to help users find interested news and alleviate information overload. Different users usually have different interests and the same user may have various interests. Thus, different users may click the …

Neural News Recommendation with Attentive Multi-View Learning

2019

Personalized news recommendation is very important for online news platforms to help users find interested news and improve user experience. News and user representation learning is critical for news recommendation. Existing news recommendation methods usually …