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Few-shot Relation Extraction via Bayesian Meta-learning on Relation
  Graphs

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

5 July 2020
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
Jian Tang
    BDL
ArXivPDFHTML

Papers citing "Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs"

14 / 14 papers shown
Title
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Li Yuan
Yi Cai
Junsheng Huang
VLM
39
2
0
18 Oct 2024
Linguistic representations for fewer-shot relation extraction across
  domains
Linguistic representations for fewer-shot relation extraction across domains
Sireesh Gururaja
Ritam Dutt
Ting-gen Liao
Carolyn Rose
18
11
0
07 Jul 2023
Cross-Domain Few-Shot Relation Extraction via Representation Learning
  and Domain Adaptation
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
21
1
0
05 Dec 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
17
8
0
10 Nov 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout
Better Few-Shot Relation Extraction with Label Prompt Dropout
Peiyuan Zhang
Wei Lu
VLM
19
24
0
25 Oct 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
25
45
0
17 Mar 2022
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
45
17
0
07 Oct 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
34
24
0
11 Jun 2021
SocAoG: Incremental Graph Parsing for Social Relation Inference in
  Dialogues
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues
Liang Qiu
Yuan Liang
Yizhou Zhao
Pan Lu
Baolin Peng
Zhou Yu
Ying Nian Wu
Song-Chun Zhu
24
17
0
02 Jun 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
21
401
0
15 Apr 2021
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
203
244
0
16 Oct 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
715
0
13 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
191
498
0
11 Jun 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
281
11,677
0
09 Mar 2017
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