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Discriminative Topic Modeling with Logistic LDA

Discriminative Topic Modeling with Logistic LDA

3 September 2019
I. Korshunova
Hanchen Xiong
Mateusz Fedoryszak
Lucas Theis
ArXivPDFHTML

Papers citing "Discriminative Topic Modeling with Logistic LDA"

15 / 15 papers shown
Title
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Mayank Nagda
Phil Ostheimer
Sophie Fellenz
473
0
0
22 Oct 2024
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
181
19,284
0
13 Jan 2018
Discovering Discrete Latent Topics with Neural Variational Inference
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao
Edward Grefenstette
Phil Blunsom
DRL
BDL
119
290
0
01 Jun 2017
Discriminative Neural Topic Models
Discriminative Neural Topic Models
Gaurav Pandey
Ambedkar Dukkipati
BDL
146
1
0
24 Jan 2017
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng
Chong-Jun Wang
Jianfeng Gao
John Paisley
69
243
0
05 Nov 2016
Supervised and Semi-Supervised Text Categorization using LSTM for Region
  Embeddings
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson
Tong Zhang
AI4TS
54
257
0
07 Feb 2016
Neural Variational Inference for Text Processing
Neural Variational Inference for Text Processing
Yishu Miao
Lei Yu
Phil Blunsom
VLM
DRL
130
622
0
19 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
128
1,233
0
04 Nov 2015
A trust-region method for stochastic variational inference with
  applications to streaming data
A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis
Matthew D. Hoffman
50
43
0
28 May 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
241
2,536
0
11 Feb 2015
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
729
0
31 Jan 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
Expectation-Propogation for the Generative Aspect Model
Expectation-Propogation for the Generative Aspect Model
T. Minka
John D. Lafferty
389
572
0
12 Dec 2012
The Author-Topic Model for Authors and Documents
The Author-Topic Model for Authors and Documents
Michal Rosen-Zvi
Thomas Griffiths
M. Steyvers
Padhraic Smyth
472
1,694
0
11 Jul 2012
Supervised Topic Models
Supervised Topic Models
David M. Blei
Jon D. McAuliffe
BDL
121
1,788
0
03 Mar 2010
1