2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li, Wei Shen, Denis Charles
In this paper, we propose TEDL, a two-stage learning approach to quantify uncertainty for deep learning models in classification tasks, inspired by our findings in experimenting wi…
cs.CL2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Jason Yue Zhu, Yanling Cui, Yuming Liu +7
Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks. Low latency variants of these models have also b…