activity
20232026
most citedEvidential Uncertainty Probes for Graph Neural Networks

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization

Russell Alan Hart, Linlin Yu, Yifei Lou +1

Deep neural networks have achieved significant success in the last decades, but they are not well-calibrated and often produce unreliable predictions. A large number of literature…

cs.CL2023

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission

Jianfeng He, Linlin Yu, Shuo Lei +2

Sequential labeling is a task predicting labels for each token in a sequence, such as Named Entity Recognition (NER). NER tasks aim to extract entities and predict their labels giv…