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Evaluating Negative Sampling Approaches for Neural Topic Models

23 March 2025

Suman Adhya

Avishek Lahiri

Debarshi Kumar Sanyal

Partha Pratim Das

BDL

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Papers citing "Evaluating Negative Sampling Approaches for Neural Topic Models"

26 / 26 papers shown

Title
GINopic: Topic Modeling with Graph Isomorphism Network Suman Adhya Debarshi Kumar Sanyal 274 4 0 02 Apr 2024
GPTopic: Dynamic and Interactive Topic Representations Arik Reuter Anton Thielmann Christoph Weisser Sebastian Fischer Benjamin Säfken LLMAG 61 3 0 06 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 93 10 0 27 Feb 2024
Prompting Large Language Models for Topic Modeling Han Wang Nirmalendu Prakash N. Hoang Ming Shan Hee Usman Naseem Roy Ka-wei Lee 61 34 0 15 Dec 2023
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling Suman Adhya Avishek Lahiri Debarshi Kumar Sanyal 77 2 0 28 Mar 2023
Improving Contextualized Topic Models with Negative Sampling Suman Adhya Avishek Lahiri Debarshi Kumar Sanyal Partha Pratim Das 81 10 0 27 Mar 2023
Contrastive Learning for Neural Topic Model Thong Nguyen Anh Tuan Luu 80 60 0 25 Oct 2021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence Alexander Miserlis Hoyle Pranav Goel Denis Peskov Andrew Hian-Cheong Jordan L. Boyd-Graber Philip Resnik 142 132 0 05 Jul 2021
Neural Topic Modeling with Cycle-Consistent Adversarial Training Xuemeng Hu Rui Wang Deyu Zhou Yuxuan Xiong GAN BDL OOD MedIm 34 35 0 29 Sep 2020
Neural Topic Modeling with Bidirectional Adversarial Training Rui Wang Xuemeng Hu Deyu Zhou Yulan He Yuxuan Xiong Chencheng Ye Haiyang Xu AAML OOD BDL 117 90 0 26 Apr 2020
Cross-lingual Contextualized Topic Models with Zero-shot Learning Federico Bianchi Silvia Terragni Dirk Hovy Debora Nozza Elisabetta Fersini BDL 164 150 0 16 Apr 2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi Silvia Terragni Dirk Hovy AI4TS 100 296 0 08 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 527 10,591 0 17 Feb 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,316 0 27 Aug 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 186 643 0 08 Jul 2019
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey Jipeng Qiang Qian Zhenyu Li Yun Yuan Yunhao Wu Xindong BDL AI4TS 103 256 0 13 Apr 2019
ATM:Adversarial-neural Topic Model Rui Wang Deyu Zhou Yulan He BDL GAN 63 92 0 01 Nov 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,364 0 10 Jul 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
Discovering Discrete Latent Topics with Neural Variational Inference Yishu Miao Edward Grefenstette Phil Blunsom DRL BDL 135 290 0 01 Jun 2017
Neural Models for Documents with Metadata Dallas Card Chenhao Tan Noah A. Smith BDL 88 122 0 25 May 2017
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 152 564 0 04 Mar 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 305 4,812 0 04 Jan 2016
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 139 622 0 19 Nov 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 402 33,573 0 16 Oct 2013
Expectation-Propogation for the Generative Aspect Model T. Minka John D. Lafferty 412 573 0 12 Dec 2012