Topic Discovery in Massive Text Corpora Based on Min-Hashing

3 July 2018

Papers citing "Topic Discovery in Massive Text Corpora Based on Min-Hashing"

7 / 7 papers shown

Title
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation Jianfei Chen Kaiwei Li Jun Zhu Wenguang Chen 58 69 0 29 Oct 2015
A Scalable Asynchronous Distributed Algorithm for Topic Modeling Hsiang-Fu Yu Cho-Jui Hsieh Hyokun Yun S.V.N. Vishwanathan Inderjit S. Dhillon 45 67 0 16 Dec 2014
LightLDA: Big Topic Models on Modest Compute Clusters Jinhui Yuan Fei Gao Qirong Ho Wei-Ming Dai Jinliang Wei Xun Zheng Eric Xing Tie-Yan Liu Wei-Ying Ma MoE AI4CE 125 177 0 04 Dec 2014
Modeling Documents with Deep Boltzmann Machines Nitish Srivastava Ruslan Salakhutdinov Geoffrey E. Hinton BDL 138 184 0 26 Sep 2013
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James R. Foulds Levi Boyles Christopher DuBois Padhraic Smyth Max Welling BDL 62 143 0 10 May 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 252 2,621 0 29 Jun 2012
Statistical Topic Models for Multi-Label Document Classification T. Rubin America Chambers Padhraic Smyth M. Steyvers 68 334 0 13 Jul 2011