Search Results for author: Bangsheng Tang

Found 2 papers, 2 papers with code

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

6 code implementations16 Nov 2016 Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou

In this paper, we propose Variational Deep Embedding (VaDE), a novel unsupervised generative clustering approach within the framework of Variational Auto-Encoder (VAE).

A Neural Autoregressive Approach to Collaborative Filtering

2 code implementations31 May 2016 Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou

This paper proposes CF-NADE, a neural autoregressive architecture for collaborative filtering (CF) tasks, which is inspired by the Restricted Boltzmann Machine (RBM) based CF model and the Neural Autoregressive Distribution Estimator (NADE).

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