Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers

4 April 2022

Papers citing "Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers"

9 / 9 papers shown

Title
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization Jianing Wang Yang Zhou Xiaocheng Zhang Mengjiao Bao Peng Yan 30 1 0 17 Sep 2024
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models Emre Onal Klemens Flöge Emma Caldwell A. Sheverdin Vincent Fortuin UQCV BDL 45 9 0 06 May 2024
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 31 34 0 05 Jun 2023
Tailoring Requirements Engineering for Responsible AI W. Maalej Y. D. Pham Larissa Chazette 21 2 0 21 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling Jiadong Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 45 4 0 17 Feb 2023
A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set Jiajun Tong Zhixi Wang Xiaobin Rui 22 6 0 24 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,368 0 25 Aug 2014