Assessing Graph-based Deep Learning Models for Predicting Flash Point

no code implementations • 26 Feb 2020 • Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan

To further explore GBDL models, we collected the largest flash point dataset to date, which contains 10575 unique molecules.

Learning to Dynamically Select Between Reward Shaping Signals

no code implementations • 1 Jan 2021 • Alexander Politowicz, Bing Liu

Automatic reward shaping is one approach to solving this problem, using automatic identification and modulation of shaping reward signals that are more informative about how agents should behave in any given scenario to learn and adapt faster.

Reinforcement Learning (RL)

Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities

1 code implementation • 31 Oct 2022 • Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby

Much of the existing work on text novelty detection has been studied at the topic level, i. e., identifying whether the topic of a document or a sentence is novel or not.

Novelty Detection Sentence

Semantic Novelty Detection in Natural Language Descriptions

1 code implementation • EMNLP 2021 • Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby

This paper proposes to study a fine-grained semantic novelty detection task, which can be illustrated with the following example.

Anomaly Detection Novelty Detection