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Knowledge Guided Metric Learning for Few-Shot Text Classification

Knowledge Guided Metric Learning for Few-Shot Text Classification

4 April 2020
Dianbo Sui
Yubo Chen
B. Mao
Delai Qiu
Kang Liu
Jun Zhao
ArXivPDFHTML

Papers citing "Knowledge Guided Metric Learning for Few-Shot Text Classification"

9 / 9 papers shown
Title
Improving Few-shot Generalization of Safety Classifiers via Data
  Augmented Parameter-Efficient Fine-Tuning
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning
Ananth Balashankar
Xiao Ma
Aradhana Sinha
Ahmad Beirami
Yao Qin
Jilin Chen
Alex Beutel
24
2
0
25 Oct 2023
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning
  Models
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Niels Schlüsener
Michael Bücker
SLR
19
1
0
16 Dec 2022
Adversarial Feature Augmentation for Cross-domain Few-shot
  Classification
Adversarial Feature Augmentation for Cross-domain Few-shot Classification
Yan Hu
A. J. Ma
38
47
0
23 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
36
8
0
18 May 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
32
43
0
18 Dec 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
44
24
0
11 Jun 2021
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
231
778
0
17 Sep 2019
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
888
0
11 Nov 2017
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
499
11,727
0
09 Mar 2017
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