research
∙
09/20/2022
Knowledge-Aware Bayesian Deep Topic Model
We propose a Bayesian generative model for incorporating prior domain kn...
share
research
∙
09/12/2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems
To build recommender systems that not only consider user-item interactio...
research
∙
05/28/2022
MDMLP: Image Classification from Scratch on Small Datasets with MLP
The attention mechanism has become a go-to technique for natural languag...
research
∙
10/27/2021
TopicNet: Semantic Graph-Guided Topic Discovery
Existing deep hierarchical topic models are able to extract semantically...
research
∙
09/12/2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
Single-table text-to-SQL aims to transform a natural language question i...
research
∙
06/30/2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Hierarchical topic models such as the gamma belief network (GBN) have de...
research
∙
02/01/2021
Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation
Routing strategies under the aegis of dynamic traffic assignment have be...
research
∙
09/28/2020
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
We develop a recurrent gamma belief network (rGBN) for radar automatic t...
research
∙
05/14/2019
Convolutional Poisson Gamma Belief Network
For text analysis, one often resorts to a lossy representation that eith...
research
∙
12/02/2017