7 citations · 17 across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
Meta-Reinforcement Learning via Exploratory Task Clustering
Zhendong Chu, Hongning Wang
Meta-reinforcement learning (meta-RL) aims to quickly solve new tasks by leveraging knowledge from prior tasks. However, previous studies often assume a single mode homogeneous tas…
cs.LG2021★ 7 cited
Improve Learning from Crowds via Generative Augmentation
Zhendong Chu, Hongning Wang
Crowdsourcing provides an efficient label collection schema for supervised machine learning. However, to control annotation cost, each instance in the crowdsourced data is typicall…
cs.LG2020★ 1 cited
Learning from Crowds by Modeling Common Confusions
Zhendong Chu, Jing Ma, Hongning Wang
Crowdsourcing provides a practical way to obtain large amounts of labeled data at a low cost. However, the annotation quality of annotators varies considerably, which imposes new c…