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Few-Shot Representation Learning for Out-Of-Vocabulary Words

Few-Shot Representation Learning for Out-Of-Vocabulary Words

1 July 2019
Ziniu Hu
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
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Papers citing "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

16 / 16 papers shown
Title
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
67
20
0
17 Jan 2025
Representation Learning via Variational Bayesian Networks
Representation Learning via Variational Bayesian Networks
Oren Barkan
Avi Caciularu
Idan Rejwan
Ori Katz
Jonathan Weill
Itzik Malkiel
Noam Koenigstein
BDL
24
15
0
28 Jun 2023
TransDrift: Modeling Word-Embedding Drift using Transformer
TransDrift: Modeling Word-Embedding Drift using Transformer
Nishtha Madaan
Prateek Chaudhury
Nishant Kumar
Srikanta J. Bedathur
35
1
0
16 Jun 2022
Few-Shot Learning on Graphs
Few-Shot Learning on Graphs
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh V. Chawla
Huan Liu
30
18
0
17 Mar 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid
  Graph Models
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
Nan Wu
Jiwon Lee
Yuan Xie
Cong Hao
38
18
0
20 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models
Unveiling Project-Specific Bias in Neural Code Models
Zhiming Li
Yanzhou Li
Tianlin Li
Mengnan Du
Bozhi Wu
Yushi Cao
Yi Li
Yang Liu
31
5
0
19 Jan 2022
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
Bowen Hao
Hongzhi Yin
Jing Zhang
Cuiping Li
Hong Chen
35
22
0
04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation
Self-supervised Graph Learning for Occasional Group Recommendation
Bowen Hao
Hongzhi Yin
Cuiping Li
Hong Chen
30
6
0
04 Dec 2021
Log-based Anomaly Detection Without Log Parsing
Log-based Anomaly Detection Without Log Parsing
Van-Hoang Le
Hongyu Zhang
27
179
0
04 Aug 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
Dynamic Language Models for Continuously Evolving Content
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
40
37
0
11 Jun 2021
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik R. Narasimhan
Thomas Griffiths
24
4
0
27 Nov 2020
SIGL: Securing Software Installations Through Deep Graph Learning
SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han
Xiao Yu
Thomas Pasquier
Ding Li
J. Rhee
James W. Mickens
Margo Seltzer
Haifeng Chen
26
49
0
26 Aug 2020
Deep learning models for representing out-of-vocabulary words
Deep learning models for representing out-of-vocabulary words
Johannes V. Lochter
Renato M. Silva
Tiago A. Almeida
13
15
0
14 Jul 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
32
28
0
29 Apr 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
383
11,700
0
09 Mar 2017
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