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Variational Sequential Labelers for Semi-Supervised Learning

Variational Sequential Labelers for Semi-Supervised Learning

23 June 2019
Mingda Chen
Qingming Tang
Karen Livescu
Kevin Gimpel
    SSL
    DRL
    BDL
    VLM
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Papers citing "Variational Sequential Labelers for Semi-Supervised Learning"

8 / 8 papers shown
Title
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
Katherine Morales
Y. Petetin
10
0
0
07 Sep 2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation
  Extraction with Heterogeneous Graph-based Propagation
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
Yandan Zheng
Anran Hao
A. Luu
18
8
0
25 May 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence
  Labeling
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
Jie Wang
Chengyu Wang
Jun Huang
Ming Gao
Aoying Zhou
BDL
UQLM
NoLa
52
4
0
17 Feb 2023
RevUp: Revise and Update Information Bottleneck for Event Representation
RevUp: Revise and Update Information Bottleneck for Event Representation
Mehdi Rezaee
Francis Ferraro
30
0
0
24 May 2022
Challenging the Semi-Supervised VAE Framework for Text Classification
Challenging the Semi-Supervised VAE Framework for Text Classification
G. Felhi
Joseph Le Roux
Djamé Seddah
BDL
21
2
0
27 Sep 2021
Controlling the Interaction Between Generation and Inference in
  Semi-Supervised Variational Autoencoders Using Importance Weighting
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
21
1
0
13 Oct 2020
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence
  Representations
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
DRL
23
76
0
02 Apr 2019
Benchmarking Approximate Inference Methods for Neural Structured
  Prediction
Benchmarking Approximate Inference Methods for Neural Structured Prediction
Lifu Tu
Kevin Gimpel
BDL
33
17
0
01 Apr 2019
1