153 citations · 274 across the 6 of their papers we have counts for
6 papers
Quantifying and mitigating the impact of label errors on model disparity metrics
Julius Adebayo, Melissa Hall, Bowen Yu +1
Errors in labels obtained via human annotation adversely affect a model's performance. Existing approaches propose ways to mitigate the effect of label error on a model's downstrea…
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Shiyao Cui, Bowen Yu, Tingwen Liu +3
Event detection (ED), a key subtask of information extraction, aims to recognize instances of specific event types in text. Previous studies on the task have verified the effective…
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
C. Estelle Smith, Bowen Yu, Anjali Srivastava +3
On Wikipedia, sophisticated algorithmic tools are used to assess the quality of edits and take corrective actions. However, algorithms can fail to solve the problems they were desi…
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives
Bowen Yu, Ye Yuan, Loren Terveen +3
Artificial intelligence algorithms have been used to enhance a wide variety of products and services, including assisting human decision making in high-stakes contexts. However, th…
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
Bowen Yu, Claudio T. Silva
Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify…
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation
Aécio Santos, Sonia Castelo, Cristian Felix +6
While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine learning (AutoML) appr…