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Neural Snowball for Few-Shot Relation Learning

Neural Snowball for Few-Shot Relation Learning

29 August 2019
Tianyu Gao
Xu Han
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
ArXivPDFHTML

Papers citing "Neural Snowball for Few-Shot Relation Learning"

12 / 12 papers shown
Title
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
70
40
0
31 Dec 2024
A Continual Relation Extraction Approach for Knowledge Graph
  Completeness
A Continual Relation Extraction Approach for Knowledge Graph Completeness
Sefika Efeoglu
48
2
0
20 Apr 2024
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
23
15
0
16 Feb 2023
Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Bin Ji
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Huijun Liu
21
32
0
17 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Continual Few-shot Relation Learning via Embedding Space Regularization
  and Data Augmentation
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
Chengwei Qin
Chenyu You
BDL
CLL
18
33
0
04 Mar 2022
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Chenyu You
CLL
178
98
0
14 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
42
24
0
11 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
38
402
0
15 Apr 2021
Few-shot Learning for Multi-label Intent Detection
Few-shot Learning for Multi-label Intent Detection
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
VLM
21
48
0
11 Oct 2020
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
389
11,700
0
09 Mar 2017
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