160 citations · 659 across the 33 of their papers we have counts for
4 papers · 1 filter
Parametric t-Distributed Stochastic Exemplar-centered Embedding
Martin Renqiang Min, Hongyu Guo, Dinghan Shen
Parametric embedding methods such as parametric t-SNE (pt-SNE) have been widely adopted for data visualization and out-of-sample data embedding without further computationally expe…
A Deep Network with Visual Text Composition Behavior
Hongyu Guo
While natural languages are compositional, how state-of-the-art neural models achieve compositionality is still unclear. We propose a deep network, which not only achieves competit…
End-to-End Multi-View Networks for Text Classification
Hongyu Guo, Colin Cherry, Jiang Su
We propose a multi-view network for text classification. Our method automatically creates various views of its input text, each taking the form of soft attention weights that distr…
Exemplar-Centered Supervised Shallow Parametric Data Embedding
Martin Renqiang Min, Hongyu Guo, Dongjin Song
Metric learning methods for dimensionality reduction in combination with k-Nearest Neighbors (kNN) have been extensively deployed in many classification, data embedding, and inform…