223 citations · 232 across the 12 of their papers we have counts for
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cs.LG2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Yachen Kang, Jinxin Liu, Xin Cao +1
We propose an approach for inverse reinforcement learning from hetero-domain which learns a reward function in the simulator, drawing on the demonstrations from the real world. The…
cs.CL2021★ 6 cited
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Linhan Zhang, Qian Chen, Wen Wang +5
Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a concise summary of the core content, which benefits downstream information retrieval and NLP…
cs.SI2021★ 2 cited
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Yong-Min Shin, Cong Tran, Won-Yong Shin +1
We study the problem of embedding edgeless nodes such as users who newly enter the underlying network, while using graph neural networks (GNNs) widely studied for effective represe…