57 citations · 119 across the 13 of their papers we have counts for
6 papers · 1 filter
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space
Zeyu Wang, Huiying Zhao, Peng Ren +2
Sepsis is a leading cause of death in the ICU. It is a disease requiring complex interventions in a short period of time, but its optimal treatment strategy remains uncertain. Evid…
Predicting Word Learning in Children from the Performance of Computer Vision Systems
Sunayana Rane, Mira L. Nencheva, Zeyu Wang +3
For human children as well as machine learning systems, a key challenge in learning a word is linking the word to the visual phenomena it describes. We explore this aspect of word…
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Yi Lin, Zeyu Wang, Kwang-Ting Cheng +1
Nuclei Segmentation from histology images is a fundamental task in digital pathology analysis. However, deep-learning-based nuclei segmentation methods often suffer from limited an…
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning
Jay Cao, Jacky Chen, Soroush Farghadani +4
We show how D4PG can be used in conjunction with quantile regression to develop a hedging strategy for a trader responsible for derivatives that arrive stochastically and depend on…
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
Suchin Gururangan, Dallas Card, Sarah K. Dreier +5
Language models increasingly rely on massive web dumps for diverse text data. However, these sources are rife with undesirable content. As such, resources like Wikipedia, books, an…
Multi-Query Video Retrieval
Zeyu Wang, Yu Wu, Karthik Narasimhan +1
Retrieving target videos based on text descriptions is a task of great practical value and has received increasing attention over the past few years. Despite recent progress, imper…