Tao Mei

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

2022 · arXiv (Cornell University)

Outlier detection tasks have been playing a critical role in AI safety. There has been a great challenge to deal with this task. Observations show that deep neural network classifiers usually tend to incorrectly classify …

Author Topic Model based Collaborative Filtering for Personalized POI Recommendation

2015 · IEEE Transactions on Multimedia

From social media has emerged continuous needs for automatic travel recommendations. Collaborative filtering (CF) is the most well-known approach. However, existing approaches generally suffer from various weaknesses. For example , sparsity can significantly degrade the …

Learning from History and Present

2018

In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendationsare becoming popular to explore the temporal characteristics of customers' interactive behaviors. However, existing works …