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Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey

Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey

18 December 2021
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
ArXivPDFHTML

Papers citing "Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey"

10 / 10 papers shown
Title
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Muhammad Tahir
Mahboobeh Norouzi
Shehroz S. Khan
James Davie
Soichiro Yamanaka
A. Ashraf
27
1
0
01 Apr 2025
Reading ability detection using eye-tracking data with LSTM-based
  few-shot learning
Reading ability detection using eye-tracking data with LSTM-based few-shot learning
Nanxi Li
Hongjiang Wang
Zehui Zhan
23
0
0
13 Sep 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
R. Hoehndorf
Yuan He
Ian Horrocks
38
4
0
16 Jun 2024
CREST: Cross-modal Resonance through Evidential Deep Learning for
  Enhanced Zero-Shot Learning
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
Haojian Huang
Xiaozhen Qiao
Zhuo Chen
Haodong Chen
Bingyu Li
Zhe Sun
Mulin. Chen
Xuelong Li
24
10
0
15 Apr 2024
BERTMap: A BERT-based Ontology Alignment System
BERTMap: A BERT-based Ontology Alignment System
Yuan He
Jiaoyan Chen
Denvar Antonyrajah
Ian Horrocks
27
81
0
05 Dec 2021
Ontology-based n-ball Concept Embeddings Informing Few-shot Image
  Classification
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
Mirantha Jayathilaka
Tingting Mu
U. Sattler
10
9
0
19 Sep 2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
169
401
0
10 Sep 2021
Learning Visual Models using a Knowledge Graph as a Trainer
Learning Visual Models using a Knowledge Graph as a Trainer
Sebastian Monka
Lavdim Halilaj
Stefan Schmid
Achim Rettinger
15
16
0
17 Feb 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
243
11,568
0
09 Mar 2017
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
160
841
0
17 May 2016
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