39 citations · 154 across the 26 of their papers we have counts for
4 papers · 1 filter
Large-Scale Multi-Document Summarization with Information Extraction and Compression
Ning Wang, Han Liu, Diego Klabjan
We develop an abstractive summarization framework independent of labeled data for multiple heterogeneous documents. Unlike existing multi-document summarization methods, our framew…
Topic Analysis for Text with Side Data
Biyi Fang, Kripa Rajshekhar, Diego Klabjan
Although latent factor models (e.g., matrix factorization) obtain good performance in predictions, they suffer from several problems including cold-start, non-transparency, and sub…
Tricks and Plugins to GBM on Images and Sequences
Biyi Fang, Jean Utke, Diego Klabjan
Convolutional neural networks (CNNs) and transformers, which are composed of multiple processing layers and blocks to learn the representations of data with multiple abstract level…
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao, Diego Klabjan, Yuan Luo
Open-set recognition generalizes a classification task by classifying test samples as one of the known classes from training or "unknown." As novel cancer drug cocktails with impro…