Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning

1 May 2022

Papers citing "Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning"

6 / 6 papers shown

Title
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts Milos Kosprdic Nikola Prodanović Adela Ljajić Bojana Bašaragin Nikola Milosevic MedIm 23 5 0 05 May 2023
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt Zhichao Yang Sunjae Kwon Zonghai Yao Hongfeng Yu 26 17 0 24 Nov 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding Zhichao Yang Shufan Wang Bhanu Pratap Singh Rawat Avijit Mitra Hong-ye Yu 121 49 0 07 Oct 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015