16 citations · 19 across the 4 of their papers we have counts for
4 papers
Multi-Scenario Ranking with Adaptive Feature Learning
Yu Tian, Bofang Li, Si Chen +6
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mi…
How to distribute data across tasks for meta-learning?
Alexandru Cioba, Michael Bromberg, Qian Wang +5
Meta-learning models transfer the knowledge acquired from previous tasks to quickly learn new ones. They are trained on benchmarks with a fixed number of data points per task. This…
Learning Error-Driven Curriculum for Crowd Counting
Wenxi Li, Zhuoqun Cao, Qian Wang +2
Density regression has been widely employed in crowd counting. However, the frequency imbalance of pixel values in the density map is still an obstacle to improve the performance.…
Robot Learning via Human Adversarial Games
Jiali Duan, Qian Wang, Lerrel Pinto +2
Much work in robotics has focused on "human-in-the-loop" learning techniques that improve the efficiency of the learning process. However, these algorithms have made the strong ass…