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TART: Improved Few-shot Text Classification Using Task-Adaptive
  Reference Transformation

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation

3 June 2023
Shuo Lei
Xuchao Zhang
Jianfeng He
Fanglan Chen
Chang-Tien Lu
    VLM
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Papers citing "TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation"

3 / 3 papers shown
Title
ContrastNet: A Contrastive Learning Framework for Few-Shot Text
  Classification
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
J. Chen
Richong Zhang
Yongyi Mao
Jie Xue
35
78
0
16 May 2023
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,924
0
31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
1