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20152022
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 5.1k across the 51 of their papers we have counts for

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stat.ML2017★ 2 cited

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Ke Ma, Jinshan Zeng, Jiechao Xiong +4

Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are batch methods…

stat.ML2016★ 4 cited

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Qianqian Xu, Jiechao Xiong, Xiaochun Cao +1

With the rapid growth of crowdsourcing platforms it has become easy and relatively inexpensive to collect a dataset labeled by multiple annotators in a short time. However due to t…