Variational Pretraining for Semi-supervised Text Classification

Variational Pretraining for Semi-supervised Text Classification

5 June 2019

Suchin Gururangan

Papers citing "Variational Pretraining for Semi-supervised Text Classification"

19 / 19 papers shown

Title
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision Yunyi Zhang Ruozhen Yang Xueqiang Xu Rui Li Jinfeng Xiao Jiaming Shen Jiawei Han 45 11 0 29 Feb 2024
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 34 18 0 22 May 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling Rongxiang Weng Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 52 4 0 17 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 27 0 0 07 Feb 2023
Transformer-Based Conditioned Variational Autoencoder for Dialogue Generation Huihui Yang 24 0 0 22 Oct 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population Tianqing Fang Quyet V. Do Hongming Zhang Yangqiu Song Ginny Wong Simon See LRM 25 11 0 14 Oct 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 41 21 0 13 Jul 2022
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
Challenging the Semi-Supervised VAE Framework for Text Classification G. Felhi Joseph Le Roux Djamé Seddah BDL 21 2 0 27 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 46 14 0 15 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification Bo Pang Ying Nian Wu 24 18 0 26 Aug 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 31 17 0 09 Jun 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 28 164 0 16 Apr 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests Jiaao Chen Diyi Yang 21 20 0 16 Jan 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 23 24 0 02 Dec 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick Mehdi Rezaee Francis Ferraro BDL DRL 17 27 0 22 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 26 1 0 13 Oct 2020
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus Xingyi Song Johann Petrak Ye Jiang Iknoor Singh Diana Maynard Kalina Bontcheva 15 19 0 05 Jun 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space Chunyuan Li Xiang Gao Yuan Li Baolin Peng Xiujun Li Yizhe Zhang Jianfeng Gao SSL DRL 32 181 0 05 Apr 2020