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Topic Compositional Neural Language Model
v1v2v3 (latest)

Topic Compositional Neural Language Model

International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
28 December 2017
Wenlin Wang
Zhe Gan
Wenqi Wang
Dinghan Shen
Jiaji Huang
Ming-Yu Liu
S. Satheesh
Lawrence Carin
ArXiv (abs)PDFHTML

Papers citing "Topic Compositional Neural Language Model"

39 / 39 papers shown
Title
Revisiting Topic-Guided Language Models
Revisiting Topic-Guided Language Models
Carolina Zheng
Keyon Vafa
David M. Blei
BDL
132
2
0
04 Dec 2023
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Jiasheng Si
Yingjie Zhu
Xingyu Shi
Deyu Zhou
Yulan He
103
0
0
22 Jul 2023
An Overview on Controllable Text Generation via Variational
  Auto-Encoders
An Overview on Controllable Text Generation via Variational Auto-Encoders
Haoqin Tu
Yitong Li
BDL
161
3
0
15 Nov 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingNeural Information Processing Systems (NeurIPS), 2022
Yishi Xu
Dongsheng Wang
Bo Chen
Ruiying Lu
Zhibin Duan
Mingyuan Zhou
211
30
0
16 Oct 2022
KALM: Knowledge-Aware Integration of Local, Document, and Global
  Contexts for Long Document Understanding
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Shangbin Feng
Zhaoxuan Tan
Wenqian Zhang
Zhenyu Lei
Yulia Tsvetkov
KELMVLM
313
13
0
08 Oct 2022
Selective Text Augmentation with Word Roles for Low-Resource Text
  Classification
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Biyang Guo
Songqiao Han
Hailiang Huang
169
10
0
04 Sep 2022
TopNet: Learning from Neural Topic Model to Generate Long Stories
TopNet: Learning from Neural Topic Model to Generate Long Stories
Yazheng Yang
Boyuan Pan
Deng Cai
Huan Sun
123
10
0
14 Dec 2021
Not All Comments are Equal: Insights into Comment Moderation from a
  Topic-Aware Model
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model
Elaine Zosa
Ravi Shekhar
Mladen Karan
Matthew Purver
146
2
0
21 Sep 2021
What Have Been Learned & What Should Be Learned? An Empirical Study of
  How to Selectively Augment Text for Classification
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification
Biyang Guo
S. Han
Hailiang Huang
122
5
0
01 Sep 2021
Semi-supervised Conditional GAN for Simultaneous Generation and
  Detection of Phishing URLs: A Game theoretic Perspective
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective
Sharif Amit Kamran
S. Sengupta
Alireza Tavakkoli
GANAAML
228
11
0
04 Aug 2021
Recurrent Coupled Topic Modeling over Sequential Documents
Recurrent Coupled Topic Modeling over Sequential Documents
Jinjin Guo
LongBing Cao
Zhiguo Gong
95
3
0
23 Jun 2021
Topic Modelling Meets Deep Neural Networks: A Survey
Topic Modelling Meets Deep Neural Networks: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
He Zhao
Dinh Q. Phung
Viet Huynh
Yuan Jin
Lan Du
Wray Buntine
BDL
147
154
0
28 Feb 2021
Label Confusion Learning to Enhance Text Classification Models
Label Confusion Learning to Enhance Text Classification ModelsAAAI Conference on Artificial Intelligence (AAAI), 2020
Biyang Guo
Songqiao Han
Xiao Han
Hailiang Huang
Ting Lu
206
77
0
09 Dec 2020
A Discrete Variational Recurrent Topic Model without the
  Reparametrization Trick
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee
Francis Ferraro
BDLDRL
126
28
0
22 Oct 2020
Explainable and Discourse Topic-aware Neural Language Understanding
Explainable and Discourse Topic-aware Neural Language Understanding
Yatin Chaudhary
Hinrich Schütze
Pankaj Gupta
BDL
200
7
0
18 Jun 2020
Contextual Text Style Transfer
Contextual Text Style TransferFindings (Findings), 2020
Yu Cheng
Zhe Gan
Yizhe Zhang
Oussama Elachqar
Dianqi Li
Jingjing Liu
215
34
0
30 Apr 2020
Recurrent Hierarchical Topic-Guided RNN for Language Generation
Recurrent Hierarchical Topic-Guided RNN for Language Generation
D. Guo
Bo Chen
Ruiying Lu
Mingyuan Zhou
BDLLRM
204
8
0
21 Dec 2019
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Graph-Driven Generative Models for Heterogeneous Multi-Task LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Wenlin Wang
Hongteng Xu
Zhe Gan
Bai Li
Guoyin Wang
Liqun Chen
Qian Yang
Wenqi Wang
Lawrence Carin
BDLMedIm
145
14
0
20 Nov 2019
INSET: Sentence Infilling with INter-SEntential Transformer
INSET: Sentence Infilling with INter-SEntential Transformer
Yichen Huang
Yizhe Zhang
Oussama Elachqar
Yu Cheng
227
1
0
10 Nov 2019
Zero-Shot Recognition via Optimal Transport
Zero-Shot Recognition via Optimal Transport
Wenlin Wang
Hongteng Xu
Guoyin Wang
Wenqi Wang
Lawrence Carin
OT
156
2
0
20 Oct 2019
Improving Textual Network Learning with Variational Homophilic
  Embeddings
Improving Textual Network Learning with Variational Homophilic EmbeddingsNeural Information Processing Systems (NeurIPS), 2019
Wenlin Wang
Chenyang Tao
Zhe Gan
Guoyin Wang
Liqun Chen
Xinyuan Zhang
Ruiyi Zhang
Qian Yang
Ricardo Henao
Lawrence Carin
DRL
114
17
0
30 Sep 2019
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic
  Models of Language via Informative Transfers
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
Yatin Chaudhary
Pankaj Gupta
Thomas Runkler
CLLBDL
76
1
0
29 Sep 2019
Behavior Gated Language Models
Behavior Gated Language Models
Prashanth Gurunath Shivakumar
Shao-Yen Tseng
P. Georgiou
Shrikanth Narayanan
143
1
0
31 Aug 2019
Towards Integration of Statistical Hypothesis Tests into Deep Neural
  Networks
Towards Integration of Statistical Hypothesis Tests into Deep Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Ahmad Aghaebrahimian
Mark Cieliebak
49
2
0
15 Jun 2019
Calibration, Entropy Rates, and Memory in Language Models
Calibration, Entropy Rates, and Memory in Language ModelsInternational Conference on Machine Learning (ICML), 2019
M. Braverman
Xinyi Chen
Sham Kakade
Karthik Narasimhan
Cyril Zhang
Yi Zhang
208
43
0
11 Jun 2019
Better Long-Range Dependency By Bootstrapping A Mutual Information
  Regularizer
Better Long-Range Dependency By Bootstrapping A Mutual Information RegularizerInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Yanshuai Cao
Peng Xu
125
2
0
28 May 2019
On Variational Learning of Controllable Representations for Text without
  Supervision
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu
Jackie C.K. Cheung
Yanshuai Cao
SSLDRL
201
9
0
28 May 2019
Topic-Guided Variational Autoencoders for Text Generation
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang
Zhe Gan
Hongteng Xu
Ruiyi Zhang
Guoyin Wang
Dinghan Shen
Changyou Chen
Lawrence Carin
BDL
213
131
0
17 Mar 2019
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific
  Texts
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga
John D. Lafferty
259
34
0
16 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
684
4,101
0
09 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
238
45
0
17 Dec 2018
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of
  Language with Distributed Compositional Prior
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
Pankaj Gupta
Yatin Chaudhary
Florian Buettner
Hinrich Schütze
BDL
254
19
0
09 Oct 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu
Wenlin Wang
Wen Liu
Lawrence Carin
MedImFedML
200
86
0
12 Sep 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
Changyou Chen
Ruiyi Zhang
Wenlin Wang
Bai Li
Liqun Chen
239
91
0
29 May 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic
  Hashing
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Dinghan Shen
Qinliang Su
Paidamoyo Chapfuwa
Wenlin Wang
Guoyin Wang
Lawrence Carin
Ricardo Henao
130
61
0
14 May 2018
Joint Embedding of Words and Labels for Text Classification
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang
Chunyuan Li
Wenlin Wang
Yizhe Zhang
Dinghan Shen
Xinyuan Zhang
Ricardo Henao
Lawrence Carin
AI4TSVLM
191
416
0
10 May 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
134
179
0
25 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDLDRL
648
251
0
07 Feb 2018
Learning Context-Sensitive Convolutional Filters for Text Processing
Learning Context-Sensitive Convolutional Filters for Text Processing
Dinghan Shen
Martin Renqiang Min
Yitong Li
Lawrence Carin
174
11
0
25 Sep 2017
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