output
20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2018 · cs.IRShow all

2 papers · 2 filters

cs.IR2018

From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation

Qianqian Xu, Jiechao Xiong, Xiaochun Cao +2

In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or social utility function which generates their comparison b…

cs.IR2018★ 15 cited

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval

Jing Yu, Yuhang Lu, Zengchang Qin +4

Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…