ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.04007
  4. Cited By
Revisiting LSTM Networks for Semi-Supervised Text Classification via
  Mixed Objective Function

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

8 September 2020
Devendra Singh Sachan
Manzil Zaheer
Ruslan Salakhutdinov
ArXivPDFHTML

Papers citing "Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function"

12 / 12 papers shown
Title
BADM: Batch ADMM for Deep Learning
BADM: Batch ADMM for Deep Learning
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
ODL
50
1
0
30 Jun 2024
Deep Learning-based Sentiment Classification: A Comparative Survey
Deep Learning-based Sentiment Classification: A Comparative Survey
Mohammed Kayed
R. Redondo
Alhassan Mabrouk
17
42
0
12 Dec 2023
Semi-supervised Relation Extraction via Data Augmentation and
  Consistency-training
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
43
5
0
16 Jun 2023
Embedding Compression for Text Classification Using Dictionary Screening
Embedding Compression for Text Classification Using Dictionary Screening
Jing Zhou
Xinru Jing
Mu Liu
Hansheng Wang
26
0
0
23 Nov 2022
Entropy optimized semi-supervised decomposed vector-quantized
  variational autoencoder model based on transfer learning for multiclass text
  classification and generation
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
Shivani Malhotra
Vinay Kumar
A. K. Agarwal
DRL
11
0
0
10 Nov 2021
Not All Unlabeled Data are Equal: Learning to Weight Data in
  Semi-supervised Learning
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
38
95
0
02 Jul 2020
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub
  Repositories
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
Yu Zhang
Frank F. Xu
Sha Li
Yu Meng
Xuan Wang
Qi Li
Jiawei Han
45
41
0
16 Oct 2019
MoBiNet: A Mobile Binary Network for Image Classification
MoBiNet: A Mobile Binary Network for Image Classification
Hai T. Phan
Dang T. Huynh
Yihui He
Marios Savvides
Zhiqiang Shen
MQ
36
49
0
29 Jul 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
33
46
0
21 Jun 2019
Using the Tsetlin Machine to Learn Human-Interpretable Rules for
  High-Accuracy Text Categorization with Medical Applications
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
33
75
0
12 Sep 2018
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
37
82
0
29 May 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
291
13,373
0
25 Aug 2014
1