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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

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 21 cited

Optimizing Two-way Partial AUC with an End-to-end Framework

Zhiyong Yang, Qianqian Xu, Shilong Bao +3

The Area Under the ROC Curve (AUC) is a crucial metric for machine learning, which evaluates the average performance over all possible True Positive Rates (TPRs) and False Positive…

cs.LG2022★ 18 cited

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling

Shilong Bao, Qianqian Xu, Zhiyong Yang +2

The recently proposed Collaborative Metric Learning (CML) paradigm has aroused wide interest in the area of recommendation systems (RS) owing to its simplicity and effectiveness. T…

cs.CV2022

ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning

Zechen Liang, Yuan-Gen Wang, Wei Lu +1

Semi-Supervised Learning (SSL) has advanced classification tasks by inputting both labeled and unlabeled data to train a model jointly. However, existing SSL methods only consider…

cs.CV2022★ 2 cited

Detecting Recolored Image by Spatial Correlation

Yushu Zhang, Nuo Chen, Shuren Qi +2

Image forensics, aiming to ensure the authenticity of the image, has made great progress in dealing with common image manipulation such as copy-move, splicing, and inpainting in th…

cs.CV2022★ 29 cited

A Principled Design of Image Representation: Towards Forensic Tasks

Shuren Qi, Yushu Zhang, Chao Wang +2

Image forensics is a rising topic as the trustworthy multimedia content is critical for modern society. Like other vision-related applications, forensic analysis relies heavily on…