32 citations · 116 across the 11 of their papers we have counts for
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cs.LG2019★ 32 cited
Multi-Label Learning with Deep Forest
Liang Yang, Xi-Zhu Wu, Yuan Jiang +1
In multi-label learning, each instance is associated with multiple labels and the crucial task is how to leverage label correlations in building models. Deep neural network methods…
cs.LG2019★ 4 cited
Imitation Learning from Pixel-Level Demonstrations by HashReward
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang +1
One of the key issues for imitation learning lies in making policy learned from limited samples to generalize well in the whole state-action space. This problem is much more severe…