Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models

14 December 2021

Lei Li

Yankai Lin

Xuancheng Ren

Peng Li

Jie Zhou

Papers citing "Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models"

3 / 3 papers shown

Title
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015