Who Needs Decoders? Efficient Estimation of Sequence-level Attributes

9 May 2023

Papers citing "Who Needs Decoders? Efficient Estimation of Sequence-level Attributes"

5 / 5 papers shown

Title
A Survey on the Honesty of Large Language Models Siheng Li Cheng Yang Taiqiang Wu Chufan Shi Yuji Zhang ... Jie Zhou Yujiu Yang Ngai Wong Xixin Wu Wai Lam HILM 32 4 0 27 Sep 2024
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 52 12 0 14 Mar 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015