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Attribute Propagation Network for Graph Zero-shot Learning

Attribute Propagation Network for Graph Zero-shot Learning

24 September 2020
Lu Liu
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
    VLM
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Papers citing "Attribute Propagation Network for Graph Zero-shot Learning"

6 / 6 papers shown
Title
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
8
19
0
14 Jun 2021
OntoZSL: Ontology-enhanced Zero-shot Learning
OntoZSL: Ontology-enhanced Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Zhuo Chen
Jeff Z. Pan
Zhiquan Ye
Zonggang Yuan
Yantao Jia
Huajun Chen
VLM
28
80
0
15 Feb 2021
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
22
125
0
21 Jun 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for
  time series classification
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang
Guodong Long
Lu Liu
Tianyi Zhou
Michael Blumenstein
Jing Jiang
AI4TS
11
99
0
24 Feb 2020
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global
  Dependencies Together
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
Tao Shen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
35
14
0
02 May 2018
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
278
11,677
0
09 Mar 2017
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