7 citations · 37 across the 11 of their papers we have counts for
11 papers
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang, Guanchu Wang, Fan Yang +4
Recent advancements in explainable machine learning provide effective and faithful solutions for interpreting model behaviors. However, many explanation methods encounter efficienc…
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions
Quan Zhou, Ramen Ghosh, Robert Shorten +1
There has been much recent interest in the regulation of AI. We argue for a view based on civil-rights legislation, built on the notions of equal treatment and equal impact. In a c…
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min +4
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D vision applications are expected to provide cost-effective and high-quality experiences…
Accelerating Shapley Explanation via Contributive Cooperator Selection
Guanchu Wang, Yu-Neng Chuang, Mengnan Du +5
Even though Shapley value provides an effective explanation for a DNN model prediction, the computation relies on the enumeration of all possible input feature coalitions, which le…
An adversarially robust data-market for spatial, crowd-sourced data
Aida Manzano Kharman, Christian Jursitzky, Quan Zhou +4
We describe an architecture for a decentralised data market for applications in which agents are incentivised to collaborate to crowd-source their data. The architecture is designe…
Subgroup Fairness in Two-Sided Markets
Quan Zhou, Jakub Marecek, Robert N. Shorten
It is well known that two-sided markets are unfair in a number of ways. For instance, female workers at Uber earn less than their male colleagues per mile driven. Similar observati…