Boosting Few-Shot Text Classification via Distribution Estimation

Boosting Few-Shot Text Classification via Distribution Estimation

26 March 2023

Xiao-Ming Wu

Papers citing "Boosting Few-Shot Text Classification via Distribution Estimation"

6 / 6 papers shown

Title
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 32 78 0 16 May 2023
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Ju Sun Hong Yu Xianchao Zhang 49 23 0 14 Jun 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 323 0 16 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 180 453 0 10 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017