32 citations · 67 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 1 cited
Adaptive Context Network for Scene Parsing
Jun Fu, Jing Liu, Yuhang Wang +4
Recent works attempt to improve scene parsing performance by exploring different levels of contexts, and typically train a well-designed convolutional network to exploit useful con…
cs.LG2019★ 11 cited
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Yikai Wang, Liang Zhang, Quanyu Dai +5
Improving the performance of click-through rate (CTR) prediction remains one of the core tasks in online advertising systems. With the rise of deep learning, CTR prediction models…
cs.LG2019★ 1 cited
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
Dongyang Zhao, Liang Zhang, Bo Zhang +3
The recommender system is an important form of intelligent application, which assists users to alleviate from information redundancy. Among the metrics used to evaluate a recommend…