IDoFew: Intermediate Training Using Dual-Clustering in Language Models
for Few Labels Text Classification

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification

8 January 2024

Abdullah Alsuhaibani

Imran Razzak

Papers citing "IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification"

5 / 5 papers shown

Title
Progressive Class Semantic Matching for Semi-supervised Text Classification Hai-Ming Xu Lingqiao Liu Ehsan Abbasnejad VLM 33 11 0 20 May 2022
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric P. Xing VLM CLIP 66 11 0 10 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 425 2,588 0 03 Sep 2019