Publications (6)
Few-Shot Abstract Visual Reasoning With Spectral Features
Tanner Bohn, Yining Hu, Charles X. Ling
We present an image preprocessing technique capable of improving the performance of few-shot classifiers on abstract visual reasoning tasks. Many visual reasoning tasks with abstra…
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling, Tanner Bohn
Humans can learn a variety of concepts and skills incrementally over the course of their lives while exhibiting many desirable properties, such as continual learning without forget…
A Conceptual Framework for Lifelong Learning
Charles X. Ling, Tanner Bohn
Humans can learn a variety of concepts and skills incrementally over the course of their lives while exhibiting many desirable properties, such as continual learning without forget…
Hone as You Read: A Practical Type of Interactive Summarization
Tanner Bohn, Charles X. Ling
We present HARE, a new task where reader feedback is used to optimize document summaries for personal interest during the normal flow of reading. This task is related to interactiv…
Catching Attention with Automatic Pull Quote Selection
Tanner Bohn, Charles X. Ling
To advance understanding on how to engage readers, we advocate the novel task of automatic pull quote selection. Pull quotes are a component of articles specifically designed to ca…
Learning Sentence Embeddings for Coherence Modelling and Beyond
Tanner Bohn, Yining Hu, Jinhang Zhang +1
We present a novel and effective technique for performing text coherence tasks while facilitating deeper insights into the data. Despite obtaining ever-increasing task performance,…