592 citations · 1.2k across the 25 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 14 cited
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
Often the best performing deep neural models are ensembles of multiple base-level networks. Unfortunately, the space required to store these many networks, and the time required to…
cs.IR2018★ 592 cited
NAIS: Neural Attentive Item Similarity Model for Recommendation
Xiangnan He, Zhankui He, Jingkuan Song +3
Item-to-item collaborative filtering (aka. item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency i…
cs.IR2018★ 401 cited
Adversarial Personalized Ranking for Recommendation
Xiangnan He, Zhankui He, Xiaoyu Du +1
Item recommendation is a personalized ranking task. To this end, many recommender systems optimize models with pairwise ranking objectives, such as the Bayesian Personalized Rankin…