151 citations · 606 across the 63 of their papers we have counts for
5 papers · 1 filter
Actively learning a Bayesian matrix fusion model with deep side information
Yangyang Yu, Jordan W. Suchow
High-dimensional deep neural network representations of images and concepts can be aligned to predict human annotations of diverse stimuli. However, such alignment requires the cos…
Reinforced Epidemic Control: Saving Both Lives and Economy
Sirui Song, Zefang Zong, Yong Li +2
Saving lives or economy is a dilemma for epidemic control in most cities while smart-tracing technology raises people's privacy concerns. In this paper, we propose a solution for t…
Temporal-adaptive Hierarchical Reinforcement Learning
Wen-Ji Zhou, Yang Yu
Hierarchical reinforcement learning (HRL) helps address large-scale and sparse reward issues in reinforcement learning. In HRL, the policy model has an inner representation structu…
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi, Yang Yu, Qing Da +2
Applying reinforcement learning in physical-world tasks is extremely challenging. It is commonly infeasible to sample a large number of trials, as required by current reinforcement…
Tunneling Neural Perception and Logic Reasoning through Abductive Learning
Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu +1
Perception and reasoning are basic human abilities that are seamlessly connected as part of human intelligence. However, in current machine learning systems, the perception and rea…