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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot
  Classification

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

13 July 2020
Yucan Zhou
Yu Wang
Jianfei Cai
Yu Zhou
Q. Hu
Weiping Wang
    VLM
ArXivPDFHTML

Papers citing "Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification"

4 / 4 papers shown
Title
Hardness-guided domain adaptation to recognise biomedical named entities
  under low-resource scenarios
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
Ngoc Dang Nguyen
Lan Du
Wray L. Buntine
Changyou Chen
Richard Beare
23
7
0
11 Nov 2022
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text
  Recognition
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition
Zhi Qiao
Yu Zhou
Jin Wei
Wei Wang
Yuanqing Zhang
Ning Jiang
Hongbin Wang
Weiping Wang
22
70
0
09 Sep 2021
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
317
11,681
0
09 Mar 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
234
446
0
28 Nov 2016
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